• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

Role Summary and Impact

Join an award-winning team at the heart of UK government, where your work will genuinely shape lives. As part of WPP 650 you’ll be part of a supportive, collaborative environment that values curiosity, kindness, and growth. Together, we use behaviour change principles to design smarter services, influence better decisions, and help millions of people across the country.

Named WPP 650, after the 650 UK parliamentary constituencies, the name is a reminder that our work must reflect the full breadth of the country, every community, every audience. No two days are the same. The challenges are complex, the problems worth solving, and the learning constant. You’ll tackle issues that matter, alongside talented colleagues who care deeply about what they do. It’s demanding – but always rewarding.

This is meaningful work with real-world impact – the kind you can point to with pride.  

As a Senior Manager, Data Engineering you will be joining the WPP 650 division of WPP Media’s Data, Technology and Analytics team.

This role involves leading client projects and overseeing the strategic development of solutions that aggregate diverse data sources into a single, unified view. You will act as a subject matter expert and strategic for our Measure data platform – a unified system for data connection, ingestion, transformation, and reporting – built on a robust technology stack including Adverity, GCP, and PowerBI.

You will be responsible for the strategic design and delivery of robust, scalable data engineering solutions that power critical insights and analytics for our diverse client base.

You will be responsible for establishing best practices, quality assurance processes and ways of working that ensure the reporting solutions we deliver are consistently accurate and meeting the needs of our clients. Your core focus will be on partnering with our clients to deeply understand their strategic objectives and challenges. You will also be responsible for fostering a high-performing and collaborative team culture between your direct report, the WPP 650 BI team, and the wider business.  

Skills and Experience

Key Responsibilities

• In partnership with the Senior BI Manager, design, build, and implement robust data engineering solutions and data pipelines, high standards for data quality, reliability, and performance.
• Serve as senior technical liaison and strategic partner to planning teams, client stakeholders, and cross-functional departments, translating business specifications into precise technical requirements for implementation.
• Design and enforce robust validation and auditing processes to ensure the highest levels of data integrity, consistency, and reliability across all platforms.
• Oversee the development and maintenance of data pipelines and data models to power dashboarding solutions delivered via the Measure platform, taking ownership of advanced data model design, dashboard deployment strategies, innovation, and change management.
• Lead initiatives to identify, evaluate, and integrate new data sources and technologies to enhance the Measure platform's capabilities and drive continuous improvement.
• Mentor and guide your direct reports on BI best practices, advanced data modeling, Power BI development, data governance, and effective client engagement.

Essential:

• Experience in designing, architecting, and implementing complex data integration strategies, transforming disparate datasets into unified, high-value data models for advanced analytics and visualization.
• Extensive experience with cloud data platforms, specifically Google Cloud Platform (GCP) services.
• High proficiency in SQL for data manipulation, transformation, and analysis, with an emphasis on optimization and best practices.
• Demonstrated experience in designing, building, and maintaining complex and scalable data pipelines (ETL/ELT).
• Experience with data transformation tools like dbt.
• Experience working with data ingestion tools like Adverity.
• Deep understanding and practical application of data modeling techniques.
• Extensive experience working with digital marketing, media campaign data, ad serving technologies, and/or web analytics data, with the ability to guide a team in this domain.
• Excellent communication, interpersonal, and stakeholder management skills.
• Strong strategic thinking, project management, and problem-solving abilities, with a focus on delivering impactful, high-quality solutions.

Desirable:

• Experience working with dashboarding tools (PowerBi preferred)
• Proficiency in a scripting language like Python.
• Exposure to CI/CD practices for data pipelines.
• Experience with project management tools such as Jira and Confluence.
• Basic understanding of data governance principles.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. 

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

About the role:

This is a Strategic role to lead our GCP and Databricks Data and AI Alliances across EMEA. dbt contributes significantly to the success of these partners and the AI enabled value their customers enjoy.

dbt’s provides the Data Infrastructure required to contextualise and unlock trust in AI. Used by over 90,000 companies every week either as Open Source ‘dbt core’ or paid for offering ‘dbt Platform’. We are one of the fastest growing pre IPO Data and AI companies. Proud to have customers such as: Astra Zenica, Sky, Unilever, Norges bank, Volvo, Bankinteer, Siemens, Toyota and many more...

Our aim is to partner with these Alliances to accelerate customer data transformations and heavily integrate into their AI roadmaps. In doing so, generate net new sourced business for dbt Labs and these partners. 

In partnering with GCP and Databricks this role will generate significant partner sourced and influenced ARR for the EMEA business. The role is set within the wider Partner Management business of EMEA, with counterparts covering other Technical Alliances and System Integrators. Both supported by our fantastic Partner Solutions Architecture and Partner Marketing teams.

Candidates must be based in the United Kingdom.

In this role, you can expect to:

• Serve as the primary point of contact for GCP and Databricks across EMEA. 
• Build the strategy and execution plan for the region delivering new pipe generation and joint capability. Ultimately maximising closed won ARR.
• Onboard new GCP and Databricks teams to the joint value proposition. Providing education on our product offerings, partnership tools, and processes. Directing teams to self-serve where necessary.
• Maintain regular communication through scalable channels with partners’ teams, their customers and the partner community within the Geography. Example hands on labs, newsletters, webinars, and email campaigns.
• Develop and maintain detailed QBR planning and a business plan that holds strong Executive followership.
• Continually drive the improvement of our overall partner program with suggestions to our head of operations and regional VP.

You’ll have an edge if you have:

• Prior experience in AI, analytics, ETL, BI, and/or open-sourced software
• Knowledge of or prior experience with dbt, GCP and or Databricks. 
• Strong Sales and or Partnership experience of building a sourcing channel.
• Entrepreneurial spirit and evidence of driving business outcomes from this.

Compensation

We offer competitive compensation packages commensurate with experience, including salary, RSUs, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.

What to expect in the interview process:

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews with members of the Sales team + challenge presentation. 

#LI-SW1

• Develop and monitor credit risk strategies, balancing risk against returns. These strategies may cover a variety of different channels and products, and cover the full credit lifecycle, from new business to Collections
• Develop and maintain frameworks to monitor portfolio risk performance, ensuring it’s within agreed risk appetite; transforming data into recommendations
• Lead analytical deep-dives into portfolio trends and emerging risks
• Represent risk to the wider business, driving changes via the product team and
• presenting analytical work to senior management
• Identify and deliver risk performance improvements across Liberis’s existing and new products globally - from pricing adjustments to policy changes
• Closely collaborate with colleagues across Liberis, especially in the Analytics, Data Science, Partnerships, Pricing and UK/US/European teams

• 2–4 years of experience in an analytical role working on credit risk strategies, portfolio analysis, or lending products
• Demonstrated ability to identify emerging risks and propose practical actions or strategy changes based on data
• Evidence of taking ownership of analyses and driving work through to recommendations and outcomes
• Good commercial awareness - able to balance risk and return when forming recommendations
• Experience working across functions - comfortable managing stakeholders at different levels, presenting risk recommendations to product, commercial, or leadership teams, and adapting your message to the audience
• Hands-on experience with data (SQL, Python, SAS or similar), strong Excel skills, Google Cloud Platform tools (Looker, dbt, Big Query) or Power BI
• Clear communication skills, with the ability to explain complex findings simply and persuasively

What happens next?

Think this sounds like the right next move for you? Or if you’re not completely confident that you fit our exact criteria, apply anyway and we can arrange a call to see if the role is fit for you. Humility is a wonderful thing, and we are interested in hearing about what you can add to Liberis!

Our hybrid approach

Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.

 #LI-CG1 

As a Customer Data Scientist at Datadog, you will partner directly with customers to help them design, execute, and scale high-impact experimentation programs. This role is ideal for someone with deep experience in applied experimentation who thrives in customer-facing environments and is motivated by driving measurable business outcomes. You will guide customers through experiment design, metric development, and data validation, helping them build trustworthy, decision-driven experimentation practices. Working cross-functionally with Sales, Product, and Engineering, you’ll play a key role in both customer success and product evolution.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as a technical and analytical partner to customers across pre-sales and post-sales engagements, demonstrating the value of Datadog’s experimentation capabilities
• Support proofs of concept by helping customers define metrics, validate data pipelines, and design statistically sound experiments
• Educate customers on best practices in experiment design and interpretation across product, marketing, pricing, and AI-driven use cases
• Enable long-term customer success by building strong experimentation practices and analytical rigor within their teams
• Collaborate with Product and Engineering to translate customer feedback into product improvements and roadmap input
• Partner with Sales and Solutions teams to navigate complex customer needs, address objections, and build trusted relationships

Who You Are:

• 4+ years of experience in data science with a strong foundation in statistics, causal inference, and experimental design in applied business or product contexts
• Hands-on experience running A/B tests and applying advanced experimentation methods such as holdouts, bandits, synthetic controls, or geo-based testing
• Fluent in SQL and comfortable working with data warehouses and pipelines to diagnose and resolve data quality issues
• Experienced in customer-facing, consulting, or pre-sales environments, with the ability to communicate complex ideas clearly to diverse audiences
• Skilled at translating analytical insights into business impact, influencing decisions across technical and non-technical stakeholders
• Experience with experimentation platforms, analytics tooling, or modern data stack technologies (e.g., dbt, Airflow) is a plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

 
Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Team Description

The Data Engineering team is responsible for developing and maintaining the company’s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function.

Your Impact

• Contribute to the development and enhancement of data ingestion and processing pipelines
• Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data
• Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies
• Support the team in delivering scalable solutions while learning and growing your expertise
• Work as part of a collaborative team that values creativity and continuous improvement
• Help build and maintain data pipelines that support AI and decision-making tools

Your Qualifications

• Commercial & proven experience in data engineering or related technical roles
• Proficiency in SQL and Python for data processing and pipeline development
• Experience with data warehousing concepts and ETL/ELT processes
• Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift
• Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT
• Experience working with columnar formats like Parquet and Avro
• Understanding of data modeling, database optimization, and performance tuning
• Experience integrating data from various sources including APIs, FTP, and cloud storage

Preferred Skills

• Knowledge of streaming data processing and data APIs
• Knowledge of cloud platforms, particularly AWS
• Familiarity with infrastructure as code and CI/CD practices
• Experience with time series data

The Community You Will Be Part Of: 

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. 

This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.

The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and  be adept at leveraging AI technologies to accelerate and raise their craft.

You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.

The Team You Will Join: 

The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.

This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.

A Typical Day:                    

• Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals                                    
• Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights                                                    
• Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions                                                     
• Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals                                               
• Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps                                                       
• Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement                                                                                                                                         

Your Expertise:                                                                                                                                                                                                                                                                                                                                 

• 4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
• Expert SQL; proficiency in Python or R                                                                                                                             
• Hands-on experience with A/B testing, causal inference, and incrementality measurement                                                                                  
• Experience building self-service data products used by non-technical stakeholders                                                                                      
• Familiarity with international / multi-market analytics contexts                                                                                                        
• Strong data storytelling — able to communicate findings clearly to business and senior audiences                                                                        
• Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences                                                               
• Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• Familiarity with MMM, attribution, or campaign measurement frameworks                                                                                                   
• Awareness of AI/LLM trends and implications for organic traffic and demand      

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

The Community You Will Be Part Of: 

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. 

This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.

The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and  be adept at leveraging AI technologies to accelerate and raise their craft.

You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.

The Team You Will Join: 

The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.

This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.

A Typical Day:                    

• Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals                                    
• Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights                                                    
• Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions                                                     
• Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals                                               
• Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps                                                       
• Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement                                                                                                                                         

Your Expertise:                                                                                                                                                                                                                                                                                                                                 

• 4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
• Expert SQL; proficiency in Python or R                                                                                                                             
• Hands-on experience with A/B testing, causal inference, and incrementality measurement                                                                                  
• Experience building self-service data products used by non-technical stakeholders                                                                                      
• Familiarity with international / multi-market analytics contexts                                                                                                        
• Strong data storytelling — able to communicate findings clearly to business and senior audiences                                                                        
• Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences                                                               
• Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• Familiarity with MMM, attribution, or campaign measurement frameworks                                                                                                   
• Awareness of AI/LLM trends and implications for organic traffic and demand      

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Sales Engineer to join our Commercial sales team. As a Commerical Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle.

This is a full-time position based out of London.

Technologies You’ll Use

 AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java 

What You’ll Do

• Work with Commercial customers to understand their business, their use cases, and their data replication requirements
• Develop and deliver technical presentations to Commercial audiences
• Ensure the technical win by running an organized proof-of-value process
• Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole.
• Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
• Stay up-to-date on the latest technologies and trends in our industry
•  Assist team members in advanced technical or business roadblocks

Skills We’re Looking For

• 4+ years in data replication, sales engineering, or related technical field
• Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience
• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
• Strong problem-solving and analytical skills
• Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
• Hands on experience with other data replication or ETL tools
• Experience with self-hosted software applications and supporting infrastructure
• Hands on networking experience both in the cloud and on-premise

Bonus Skills​

• Experience developing partner relationships
• Specialized expertise in security posture 
• Experience with self-hosted and SaaS software applications
• Hands on experience with DBT

#LI-LA1
#LI-Remote

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

The Experience You’ll Need

• 5+ years of deep experience in modern, cloud-based data engineering. You have a proven track record of building and maintaining robust platforms that enable the discovery, query, and processing of large-scale datasets.
• Expertise in Core Technologies (Mandatory): You possess advanced proficiency in Python and SQL and experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.)
• Data Fundamentals & Architecture: You have a deep understanding of Relational Databases (Postgres, MySql, etc.) and are proficient in working with data container files (e.g., Parquet, Avro, etc.). You are familiar with Medallion Architecture (Bronze/Silver/Gold) and know how to apply its principles to build scalable, reliable data products.
• Cloud & Platform Operations: You are seasoned in at least one major cloud provider (GCP, AWS, or Azure). You are comfortable in a "DevOps" capacity—specifically managing the infrastructure and tools that empower other engineers to run their pipelines, rather than focusing solely on building ETL flows.
• Hands-On: You understand the trade-offs between different architectures (Data Lake vs. Warehouse) and can make high-level decisions regarding CI/CD and system maintenance. Crucially, you are a "doer" who enjoys getting into the weeds of implementation, not only designing the blueprint.
• Collaborative Problem Solver: You thrive in environments with significant technical ambiguity. You can navigate complex systems and diverse technologies to deliver solutions that are easily monitored, quantified, and understood in production.
• People-First Mindset: You prioritize supporting your coworkers’ growth. We value a culture where meeting deadlines never comes at the expense of being a helpful, empathetic teammate.
• Intellectual Curiosity: While a background in drug discovery, biology, or chemistry isn't required, a drive to learn the domain and explore new technologies is essential!

• Cloud: Google Cloud Platform (GCP), GCS, Pub/Sub.
• Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
• Infrastructure: Kubernetes, PostgreSQL, CI/CD (Argo).

Working Location & Compensation:

This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

Senior Analytics Engineer

We are looking for a talented Senior Analytics Engineer to join our Data Mission, where you'll take technical ownership of how we model, transform, and activate data at scale. Using a cutting-edge tech stack including dbt, Databricks, and Kafka, you'll define the standards that the team works to and build the data products that power decisions for millions of users.

We are proud to say that our engineers at ClearScore are world class and at the heart of making this mission a reality for our millions of users. For more information on our tech stack check out our 2026 Tech Radar, how we work is summarised in our Engineering Principles and we have many other Tech Blogs on Medium.

What you will be doing:

• Taking technical ownership of large data initiatives, leading delivery end-to-end across multiple components, stakeholders, and delivery phases
• Setting and upholding best practice standards for analytics engineering across our entire data model, from data modelling conventions and dbt patterns to testing, documentation, and observability, and ensuring these standards are understood and applied consistently
• Leading data model design discussions and shaping architectural direction, including designing new schemas from the ground up with best practices and end-user utility in mind
• Shaping how we use SQL, dbt, Databricks, and AI at scale — advising on complex or high-risk transformations and contributing to tooling and architectural direction
• Bringing a system-level perspective on lineage, workflows, and observability, ensuring the organisation can reason clearly about data flows, dependencies, and accountability
• Coaching and mentoring engineers across the team, building capability through code reviews, design discussions, and knowledge sharing
• Collaborating with Platform and Data Science teams to define requirements for new data products and troubleshoot upstream data issues

Skills we'd love you to have:

• You are an expert in SQL and dbt, and you apply this to design and build robust, scalable data transformations on platforms like Databricks
• You have strong experience with data modelling concepts and frameworks (e.g. Kimball) and have led architectural design discussions
• You can set and communicate engineering standards — you're the person others come to for guidance on how things should be built
• You have experience diagnosing and resolving complex production issues, and you design pipelines with testing, monitoring, and maintainability in mind
• You have a system-level view of data: you think about lineage, dependencies, and how changes ripple through a platform
• You bring others along with you — through mentoring, documentation, and clear technical communication with both engineers and non-technical stakeholders
• You have experience with orchestration tooling (e.g. Databricks Workflows) and understand how data products are operationalised end-to-end
• Familiarity with data activation tools (e.g. Hightouch) or streaming platforms (e.g. Kafka) is a bonus

Why ClearScore?

ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions.

Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do.

Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.

If you feel like this could be the place for you, apply and our Talent team will be happy to share more.

Benefits:

• 25 paid holidays and a “duvet day” on your birthday
• Hybrid Work Environment
• Private health and dental cover - including mental health support through Bupa 
• GP office visits
• Life assurance scheme
• Up to 6% matched pension
• Regular Lunch and Learns with guest speakers
• Dog-friendly office
• Daily breakfast and free snacks
• Access to discounts via Cobens Extras 
• Free sports and social clubs
• Continued investment into learning and development 
• Leadership-led training
• In-house psychotherapist
• Financial coach to help you plan and achieve your goals
• No clock-watching culture
• Generous maternity and paternity plans
• Culture and inclusion representatives
• Transparent pay structure and a career growth plan

Equal Opportunities

ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.

• Levels 1-5: Minimum 2 days per week in-office
• Level 6 and above: Minimum 3 days per week in-office

• Flexibility to manage your work and life
• Dedicated in-office days for team building and collaborative projects
•  Office facilities (with plants!) designed for productive interactions
• Clear expectations and support for maintaining our hybrid schedule

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In the United Kingdom, the OTE (On-Target Earnings) compensation range for this role is GBP 81,000 - GBP 97,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. 

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

1995 - Director, Business Intelligence

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. 

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.

Role Summary and Impact

Mindshare delivers Good Growth for its clients. As “Growth Architects," we drive growth that benefits all stakeholders — better for people, planet, and business — by using media with intention. This approach creates more meaningful connections with consumers, increases consumer trust in the brand, and delivers better outcomes for all stakeholders.

We're looking for a Business Director to lead the development and delivery of data pipelines, reporting frameworks, cloud infrastructure, and data-driven media solutions for Mindshare's clients in the UK.

You will be joining the BI & Data Management team, a community of BI and data engineering specialists within WPP Media, responsible for transforming marketing data into actionable insights and performance reporting across some of the UK's largest digital media investments.

This role is ideal for a technically credible data leader who can balance hands-on oversight of complex delivery with senior client relationship management, commercial accountability, and team development. You will play a key role in shaping how the team works, championing best practices in data engineering, cloud environment management, and governance, while contributing to the growth of the practice through new business and expanding existing client partnerships.

Key Responsibilities

Team Leadership - Lead and coach a team of four BI developers and data engineers. Define priorities, develop ways-of-working, shape delivery roadmaps, and embed a culture of transparency, collaboration, and continuous improvement.

Project Delivery - Govern the end-to-end delivery lifecycle across a portfolio of client projects, managing resourcing, timelines, and cross-functional dependencies to ensure workstreams are delivered reliably and at scale. Establish and maintain consistent ways of working across the team's project portfolio.

Solution Development - Oversee the delivery and development of performance dashboards, automated reporting solutions, and descriptive analytics used by media, analytics, and client teams. Collaborate closely with stakeholders to translate business questions into clear, actionable data products.

Data Enablement - Work cross-functionally with media activation teams, data science, data strategy, and global product teams to democratise access to data and develop automated, data-driven solutions that drive efficiencies and enhance capabilities. Partner with client account leads to ensure technical solutions are aligned with commercial objectives.

Cloud Environment Ownership - Act as the primary owner of all GCP environments within the team, enforcing best practices for deployment and management via the centrally managed Terraform service, while collaborating with central DevOps and TechOps teams to scope and deliver broader infrastructure solutions.

Taxonomy, Data Standards & Governance - Ensure consistent application of marketing taxonomies, data definitions, and platform mappings (e.g. campaign metadata, brand/product categorisation, measurement KPIs), while driving the development of monitoring tools to surface issues in data completeness, accuracy, and consistency across platforms and sources.

Senior Client & Stakeholder Relationships - Serve as a senior point of contact for key clients and internal stakeholders, building and maintaining trusted relationships at a senior level. Act as an escalation point for delivery issues and ensure the team's output consistently meets and exceeds client expectations.

Commercial & New Business - Contribute to the commercial growth of the practice by supporting new business pitches, scoping and pricing briefs, and identifying opportunities to expand existing client relationships. Maintain awareness of project profitability and resource allocation to ensure delivery is commercially sustainable.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Essential Skills & Experience

• Proven experience in a data team leadership role, with the ability to manage, mentor, and develop a high-performing technical team
• Strong data engineering knowledge, including hands-on experience overseeing the design and development of ETL/ELT pipelines
• Deep expertise across major cloud platform services, including data warehousing, serverless compute, workflow orchestration, object storage, and CI/CD tooling
• Proficiency in Python and version control practices using GitHub or GitLab
• Experience architecting and owning cloud environments, as well as IAM best practices
• Demonstrated ability to handle and manage commercially sensitive data in line with governance and compliance requirements
• Experience building or overseeing automated reporting and dashboard solutions, ideally using PowerBI and dbt
• Strong stakeholder management skills, with the ability to present complex technical concepts clearly to clients and senior internal stakeholders
• Familiarity with API data extraction and integrating third-party data sources into data platforms

Desirable Skills & Experience

• Experience working within a marketing, media, or advertising agency environment
• Hands-on experience with GCP specifically (e.g. BigQuery, Cloud Run, Cloud Workflows, Cloud Storage, Cloud Build); GCP certifications are highly desirable
• Hands-on experience developing algorithms, descriptive analytics frameworks, and KPI measurement solutions
• Working knowledge of infrastructure-as-code tooling (e.g. Terraform)
• Experience standing up infrastructure and data pipelines for data science or ML use cases
• Working knowledge of Confluence or similar tools for maintaining technical documentation standards
• Familiarity with media performance measurement and marketing attribution methodologies
• Experience working closely with client account or commercial leads to translate business needs into technical solutions

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

About Sony Music Entertainment

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music's Product Design Engineering and Global Operations (PDEGO) Team is looking for a Software Engineer to join our D2C team in our King’s Cross office (London). Your work will power the technology that will support our artist, label, and merchandise stores worldwide.

As a Software Engineer with PDEGO:

What you'll do:

• Work with a cross-functional team to build products that empower artists and record labels across the globe
• Contribute to all tiers of our architecture to produce high quality, robust user experiences
• Write clean, tested, maintainable code
• Work closely with product management to understand client requirements
• Participate in re-architecture, refinement and technical design of various systems

Who you are:

• We’re seeking a Data Platform Software Engineer with 4+ years of experience in the following areas:
• Strong experience implementing distributed systems and scalable data solutions.
• Proficiency in a scripting language, such as Python, for data pipeline development and automation.
• Deep experience with various database and data warehousing technologies and query languages (we use Neo4j, Kafka, MySQL, Snowflake, Elasticsearch, and more).
• Experience designing, building, and maintaining robust ETL/ELT data pipelines, including orchestration tools like Airflow, for large-scale data ingestion and transformation.
• Experience with data transformation tools such as dbt (data build tool).
• Familiar with techniques for data quality monitoring and ensuring data reliability.
• Experience with microservices, APIs, and related standards such as REST and HTTP.
• Comfortable with AWS Cloud technologies and cloud-native data services.
• Experience with Terraform or similar Infrastructure as Code (IaC) tools for managing and provisioning cloud resources.
• Experience using log analysis and monitoring tools to investigate data issues and pipeline performance.
• Experience writing unit and integration tests to ensure data integrity.
• Experience working in an agile team.

6841 - Director, Global Client Finance Data & Platform

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

Role Summary and Impact 

The Director, Client Finance Data & Platform is the chief architect and owner of Abacus, our core Global Client Finance data ecosystem. This is a critical leadership role responsible for building and operating the reliable data pipelines, robust standards, and intuitive self-service interfaces that will transform our Global Client Financefunction. 

You will own the end-to-end data journey, from ingestion from source systems like SAP BFC, through transformation in Databricks, to the delivery of certified, user-friendly Power BI semantic models. Your mission is to operate a world-class data platform with rock-solid reliability, enabling the Global Client Finance team to move from manual data wrangling to high-impact strategic analysis. This role is perfect for a data expert who is passionate about building data products and thrives on bridging the gap between the technical and financial worlds. 

Key Responsibilities 

• Abacus Platform Ownership: Own the Abacus architecture and semantic layer. Design and govern the dimensional model (star schemas, dimensions, facts), set development standards, manage versioning, and run a predictable, agile release cadence for all data products. 

• Data Engineering & Pipelines: Lead the build and operation of robust, scalable, and automated ingestion pipelines for core sources (e.g., SAP BFC, Dynamics 365, Timesheet systems). Champion the use of reusable connectors, templates, and test suites to simplify and accelerate the onboarding of new data sources. 

• Data Governance & Contracts: Define and govern data connections with source system owners. Manage schema change control, ensure backward compatibility, and triage data quality issues. Publish and maintain clear API/feed documentation for all data integrations. 

• Power BI & Semantic Layer: Deliver and certify user-friendly Power BI semantic models and curated data marts that serve as the "single source of truth" for Global Client Finance reporting. Continuously optimize DAX query performance and manage access governance for our broad user base. 

• Data Quality & Reliability: Implement a framework for automated testing, data quality checks, and performance monitoring. Define and manage SLAs for all data products, and lead incident management and root-cause remediation to ensure the business has uninterrupted access to trusted data. 

• Enable AI-Powered Self-Service: Drive the strategy and implementation of AI/ML across the data platform. This includes not only developing models for forecasting and anomaly detection but also pioneering AI-driven interfaces (e.g., natural language querying) to truly democratize data access. Your goal is to empower non-technical users to explore and understand complex financial data intuitively, asking questions in plain language and getting immediate, reliable answers. 

• Strategic Partnership: Work in close partnership with the Global Business Systems (GBS) team, Master Data Management (MDM) projects, and WPP technology counterparts to ensure our data platform aligns with the broader enterprise technology landscape. 

Skills and Experience 

Core Tech Stack: 

• Data Platform: Expert-level knowledge of Databricks (Notebooks, Delta Lake, SQL endpoints). 

• ETL/ELT: Proven experience building and managing data pipelines using tools like Azure Data Factory, dbt, or similar. 

• BI & Semantic Layer: Deep expertise in Microsoft Power BI, including mastery of DAX, M (Power Query), dataflows, and performance tuning of large-scale semantic models. 

• Data Languages: Expert-level SQL is essential. Proficiency in Python and/or Scala is highly preferred. 

• Data Modeling: Deep expertise in dimensional modeling (Kimball methodology, star/snowflake schemas) and data warehousing principles. 

• Source Systems: Experience integrating data from financial consolidation systems (e.g., SAP BFC/Cartesis, Hyperion) and ERPs (e.g., SAP, Dynamics 365) is a significant advantage. 

• AI/ML & Advanced Analytics: Familiarity with machine learning concepts and their practical application for forecasting and anomaly detection is a strong plus. Crucially, an understanding of how Large Language Models (LLMs) can be applied to create natural language querying ("Text-to-SQL" or "Text-to-DAX") interfaces for data exploration and business intelligence is highly desirable. 

• DataOps/DevOps: Experience with CI/CD pipelines, source control (Git), and automated testing frameworks for data. 

Experience & Personal Attributes 

• Experience in data architecture, data engineering, or BI development, with at least 3-5 years in a technical leadership or platform ownership role. 

• Crucially, demonstrable experience working within or in very close partnership with a corporate Finance or FP&A function. You must be able to understand financial concepts and translate business requirements into robust technical solutions. 

• Proven track record of designing, building, and operating large-scale data platforms and BI solutions in a global enterprise environment. 

• Strategic thinker with the ability to see the big picture and define a long-term data roadmap, while also being hands-on and capable of diving deep into technical details. 

• Exceptional stakeholder management and communication skills, with the ability to articulate complex technical concepts to non-technical audiences, from junior analysts to C-suite executives. 

• A passion for data quality, governance, and building trust in data across an organization. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 
 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

#LI-Promoted 

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

231 - Lead Data Engineer, WPP Media Data, Technology and Analytics (DTA)

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About WPP Media Data, Technology and Analytics (DTA): A Leading WPP Media Brand

DTA is WPP’s global data products and technology arm. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

As a Lead Data Engineer, based within our Wavemaker team, you will serve as the technical figurehead for the data engineering practice across WPP Media’s broader Business Intelligence & Data Engineering agency teams. You will be instrumental in defining, driving, and implementing best-in-market data engineering strategies and solutions, with a particular focus on the Measure data platform. You will work directly on Wavemaker clients and collaborate closely with the Wavemaker BI team, ensuring their data needs are met with cutting-edge solutions.

This is an influential role that combines deep hands-on technical expertise with strategic leadership. You will be responsible for setting technical standards, fostering a community of practice among all our engineers across the agencies, and ensuring the delivery of cutting-edge, commercially viable data solutions that empower data-driven decision-making for our clients and internal teams. While you will directly manage one individual, you will act as the most senior engineer in the wider team, providing technical direction and mentorship. You will also represent our data engineering capabilities in client pitches and external forums, demonstrating our leadership in the BI space.

In this role you will:

• Lead Data Engineering Strategy: Define and drive the overarching data engineering strategy and architecture for WPP Media, ensuring scalability, reliability, and innovation across diverse client needs and platforms.
• Technical Figurehead & Community Leader: Act as the senior technical authority and figurehead for data engineering across WPP Media's BI & Data Engineering teams. You will cultivate and lead a thriving community of practice among Director-level engineers, fostering knowledge sharing, standardisation, and technical excellence.
• Measure Platform Expertise & Customisation: Leverage expert-level understanding of the Measure data platform (including Adverity, Google Cloud Platform, BigQuery, dbt, and PowerBI) to design, develop, and implement bespoke, complex data ingestion, transformation, and storage solutions that meet advanced BI specifications.
• Cloud Architecture & Development: Lead the architecture, development, and optimisation of robust, scalable data pipelines and infrastructure across various cloud environments, with deep expertise in Google Cloud Platform (GCP – e.g., BigQuery, Cloud Storage, Cloud Functions, Composer) and AWS.
• Hands-on Delivery & Mentorship: Be actively involved in hands-on development of critical data solutions while providing technical guidance, coaching, and mentorship to engineers within the Wavemaker team and across broader WPP Media agencies. You will directly manage one individual, guiding their professional development.
• Drive Innovation & Best Practices: Continuously identify, evaluate, and integrate emerging trends, technologies, and best practices (e.g., data mesh, advanced CI/CD, IaC using Terraform/Terragrunt) into our data engineering workflows. Champion standard ways of working, naming conventions, and data governance.
• Stakeholder Engagement & Pitches: Collaborate closely with BI Leads, Analytics teams, planning teams, and clients to translate complex business requirements into clear, commercially viable technical designs. Represent our data engineering capabilities effectively in client pitches and strategic discussions.
• Data Quality & Governance: Establish and enforce rigorous data quality standards, validation processes, and governance policies to ensure the accuracy, completeness, and consistency of all data assets.
• Commercial Impact: Work with BI leadership to identify opportunities to drive revenue through the adoption and enhancement of our BI product suite, ensuring our data solutions provide maximum commercial value.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

Essential:

• Progressive experience in data engineering, analytics engineering, or a related field, with demonstrated leadership responsibilities.
• Proven experience leading technical practices and fostering a community of technical experts across multiple teams or business units.
• Deep, hands-on expertise in designing, implementing, and managing data solutions on both Google Cloud Platform (GCP) (e.g., BigQuery, Cloud Storage, Dataflow, Composer, Cloud Functions) and AWS.
• Expert-level proficiency in SQL and experience with modern data transformation tools like dbt (Data Build Tool).
• Comprehensive understanding and practical experience with the architecture and components of a unified data platform (including Adverity for data ingestion).
• Infrastructure as Code (IaC) & CI/CD: Experience with IaC tools like Terraform or Terragrunt, and a strong understanding of CI/CD pipelines (e.g., GitLab CI/CD, GitHub Actions) for automated deployment and testing.
• Expertise in designing and implementing robust data models (e.g., star schema, data vault) for analytical and reporting purposes.
• Strong understanding of leading BI and visualisation tools (e.g., Power BI, Tableau, Looker Studio)
• Exceptional communication, presentation, and interpersonal skills, with a proven ability to engage, influence, and translate complex technical concepts for both highly technical and non-technical senior stakeholders and clients.

Desirable:

• Understanding of digital advertising, media campaign data, ad serving technologies, and web analytics.
• Proficiency in one statistical programming language (e.g., Python or R) for data manipulation, automation, and advanced analytics.
• Experience with data mesh principles and implementation strategies.
• Familiarity with Agile/Scrum development methodologies.
• Experience with project management tools such as Jira and Confluence.
• Prior experience acting as an external thought leader or presenter in the data engineering or BI space.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

#LI-Promoted

309 - Lead Architect, Cloud – Choreograph Consulting

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About Choreograph: A Leading WPP Media Brand

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

We are hiring a Lead Architect, Cloud to drive the technical delivery of Azure-based data engineering and cloud configuration engagements within client environments.

As the senior technical authority on the engagement, you will design, architect, and implement modern data platform solutions on Microsoft Azure, establish CI/CD practices, and guide engineers to follow reference architectures and standards.

You will sit within the Cloud Architecture team, partnering closely with Data Engineering, Platform/DevOps, Security, and Client Delivery to ensure designs translate into resilient, cost-effective and compliant implementations.

This role combines hands-on architecture with leadership of the technical approach, enabling consistent delivery quality across multiple client projects. You will mentor engineers, review designs and own key technical decisions and trade-offs.

Area of expertise

• Azure data platform architecture: Data Lake/Lakehouse patterns (ADLS Gen2, Delta Lake), Synapse Analytics, and/or Azure Databricks.
• Orchestration and integration using Azure Data Factory (pipelines, mapping/wrangling data flows, integration runtimes) and event-driven patterns (Event Hubs, Service Bus).
• CI/CD for data and infrastructure (Azure DevOps or GitHub Actions) including blue/green deployments, approvals and environment promotion.
• Infrastructure-as-Code using Bicep and/or Terraform; reusable modules, policy-as-code, and environment baselines.
• Secure-by-design cloud configuration: networking, private endpoints, managed identities, Key Vault, RBAC, Purview governance, data masking.
• Data engineering practices: batch and streaming pipelines, data quality testing, schema management, and performance optimization (Spark/Synapse SQL).
• Observability and operations: Azure Monitor, Log Analytics, Application Insights, cost/performance telemetry, and SLAs/SLOs for pipelines.
• Azure Well-Architected Framework alignment (reliability, security, cost, performance, operations) and FinOps-aware design.
• API and integration design with Azure Functions, Logic Apps, and API Management for data services.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

• Hands-on architect who sets clear reference architectures and patterns, then leads by example through implementation and code reviews.
• Designs for operability, security, and cost from the start; makes pragmatic trade-offs and documents decisions.
• Automates everything possible with IaC and CI/CD; favors repeatability over one-off builds.
• Clear communicator who can facilitate client workshops, write concise design docs/runbooks, and align cross-functional teams.
• Inclusive leader who mentors engineers, invites diverse viewpoints, and creates shared ownership of outcomes.
• Outcome-focused: measures success with deployment frequency, lead time for changes, data pipeline SLAs, cost efficiency, and reliability metrics.
• Consultative and client-facing, able to translate business requirements into technical roadmaps and phased delivery.

Responsibilities

• Lead architecture and end-to-end delivery of Azure data platforms for clients, including landing zones, networking, identity, and data platform services (Azure Data Lake Storage, Synapse, Databricks).
• Design and implement Azure Data Factory pipelines and data flows for ingestion, transformation, and orchestration; establish patterns for parameterization, retries, and error handling to meet pipeline SLAs.
• Establish CI/CD for data and infrastructure (Azure DevOps/GitHub): repo strategy, branching, pull requests, multi-stage pipelines, approvals, environment promotion, and artifact/versioning strategy.
• Define and deliver infrastructure-as-code using Bicep and/or Terraform; create reusable modules and policy-as-code guardrails to ensure consistent, compliant environments.
• Implement secure-by-default configurations: private endpoints, managed identities, Key Vault-backed secrets, RBAC, network isolation, data encryption, and Purview cataloging/lineage.
• Optimize performance and cost across compute and storage (e.g., Spark cluster sizing, autoscaling, partitioning, caching, lifecycle policies, serverless options); track and report savings.
• Introduce DataOps practices: automated testing (unit/integration), data quality checks, schema enforcement, and promotion gates; reduce change failure rate and improve lead time.
• Define monitoring and observability for pipelines and platforms using Azure Monitor, Log Analytics, and custom metrics; design alerting that drives fast MTTR.
• Guide the design of streaming and micro-batch patterns (Event Hubs, Kafka on Azure, Structured Streaming) where required by the use case.
• Partner with Security and Platform teams to align with Azure Well-Architected, landing zone standards, and compliance requirements (e.g., GDPR data controls); support audit-ready documentation.
• Lead technical workshops, produce architecture diagrams, HLDs/LLDs, and runbooks; present designs at client design authorities and steer technical decision-making.
• Provide technical leadership to engineering teams: mentor, review code/IaC, unblock delivery, and ensure adherence to reference architecture and non-functional requirements.
• Plan phased roadmaps and migration paths from legacy platforms; de-risk cutovers through rehearsal and roll-back strategies.
• Contribute to internal accelerators, templates, and best practices that raise delivery consistency across engagements.

Requirements

• Hands-on experience in cloud data engineering/architecture with a focus on Microsoft Azure.
• Proven leadership as a lead/principal engineer or architect delivering Azure data platforms in client environments.
• Expertise with Azure Data Factory (pipelines, data flows, integration runtimes) and at least one of Synapse Analytics or Azure Databricks (Spark).
• Strong CI/CD experience using Azure DevOps or GitHub Actions for both IaC and data workloads; environment strategy, approvals, and automated testing.
• Proficiency in Infrastructure-as-Code with Bicep and/or Terraform; reusable modules and policy enforcement (Azure Policy).
• Solid data engineering fundamentals: SQL and one of Python/Scala; performance tuning for Spark/Synapse; data modeling for analytical workloads.
• Secure Azure configuration: VNets, private endpoints, managed identities, Key Vault, RBAC; understanding of Purview governance and data protection patterns.
• Observability and operations experience: Azure Monitor, Log Analytics, alerting, pipeline SLAs, and incident playbooks.
• Excellent client-facing communication, architecture documentation, and stakeholder management skills.
• Nice-to-have
• Event-driven architectures with Event Hubs, Kafka, Stream Analytics, or Functions; CDC patterns (e.g., ADF, Debezium).
• Lakehouse/Delta patterns on Databricks; MLflow and feature store awareness; Synapse/Dedicated SQL Pools performance optimization.
• Data quality tooling and frameworks (Great Expectations, Deequ) and dbt for transformation governance.
• FinOps practices for Azure cost governance and tagging/chargeback models.
• API Management, Logic Apps, or Power Platform integration experience.
• Experience with Azure landing zones, Enterprise Scale architecture, and Azure Policy/Blueprints (or equivalent).
• Relevant certifications: Microsoft Certified Azure Solutions Architect Expert, Azure Data Engineer Associate, or equivalent.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

#LI-Promoted

SVP, DATA, TECH & ANALYTICS (UK Government) 

About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About our Data, Tech and Analytics Division

We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through WPP Open, an AI-enabled media and data platform for the next era of advertising. We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. Our UK Data, Tech and Analytics capabilities are central to our success, empowering WPP Media’s clients with a full range of services that deliver tangible impact. This SVP role sits at the pinnacle of our dedicated offering for the UK Government, overseeing a multi-disciplined team of specialists.

Position Overview

The SVP, Data, Tech & Analytics for the UK Government Account will be the ultimate leader responsible for defining, orchestrating, and delivering WPP Media's entire data, technology, and analytics vision for this critical client. This executive will provide direct leadership and strategic integration for 20+ individuals across three disciplines - Analytics, Business Intelligence & Data Management and Data Strategy.

This role serves as the most senior strategic partner to the UK Government on all data, tech, and analytics matters, ensuring that WPP Media consistently delivers transformative solutions that drive the effectiveness of government communications. Reporting directly to Owain Wilson, EVP, Data Strategy, the SVP will hold ultimate accountability for the strategic roadmap, commercial success, operational excellence, and innovation agenda across the entire data and analytics portfolio for the UK Government.

Responsibilities

Executive Leadership & Strategic Vision:

• Define and articulate the overarching data, tech, and analytics vision for the UK Government, ensuring alignment with their public sector objectives.
• Provide executive oversight and strategic direction to the VP Analytics, VP BI & Data Management, and VP Data Strategy, fostering seamless collaboration to deliver an integrated service.
• Drive the strategic adoption and maximisation of WPP Media's technology and data ecosystem, specifically WPP Open and Open Intelligence, and oversee the successful operation of a specific UK Government data environment that powers applications and strategic decisions.

Client Partnership:

• Act as the most senior strategic data, technology, and analytics partner to key UK Government leadership, including marketing directors, and effectiveness leads.
• Cultivate deep, trusted relationships that position WPP Media as an indispensable advisor, proactively identifying and securing opportunities for advanced data, tech, and analytics solutions.

Integrated Delivery & Operational Excellence:

• Hold ultimate accountability for the highest standards of delivery across all Data, Tech & Analytics functions, from the data ingestion and reporting infrastructure (Data Management & BI) to innovative audience architecture (Data Strategy) and end-to-end campaign evaluation (Analytics).
• Champion operational efficiency and automation across the data workflow, including the integration with the Cabinet Office’s proprietary technology.
• Ensure the effective application of AdTech and MarTech solutions to optimise campaign performance, with a clear strategy for integrating UK Government-owned technology with WPP's technology.

Innovation, Data Governance & Ethical Practice:

• Lead the innovation agenda for Data, Tech & Analytics for the UK Government, evaluating and implementing cutting-edge solutions, including defining the strategic questions and use cases for Agentic AI, and staying at the forefront of industry and academic developments.
• Instil and enforce the highest standards of data governance, privacy (e.g., GDPR), ethical data usage, and security protocols across all data operations for sensitive UK Government data.
• Act as a thought leader, representing WPP Media in key forums like the Ethics Steering Group, and elevating the discussion around responsible data and AI use in public sector communications.

Team Leadership & Talent Development:

• Lead, inspire, and empower a high-performing leadership team comprising the VP Analytics, VP BI & Data Management and VP Data Strategy.
• Foster a culture of continuous learning, collaboration, excellence, and innovation across the entire data, tech, and analytics function for the UK Government account.
• Attract, develop, and retain top-tier talent, building a best-in-class team capable of addressing the complex challenges of government communications.

Skills and Experience required

• Progressive experience in senior leadership roles within Data, Tech & analytics, ideally within a media agency, consultancy, or client-side marketing organisation.
• Significant exposure to public sector clients would be highly beneficial.
• A strategic, visionary, and decisive leader with a highly collaborative and adaptable approach, comfortable navigating complexity within a large global organisation.
• Demonstrated expertise in moving beyond conceptual ideas to lead the practical application of AI and Machine Learning in a media context, with a deep understanding of how to leverage technologies like Agentic AI for insight generation and operational efficiency.
• Recognised as a forward-thinker and innovator, with a demonstrable ability to stay at the forefront of AI advancements and translate them into a tangible competitive advantage and new value for clients.
• Demonstrable track record of defining and executing enterprise-level data and analytics strategies that drive significant business outcomes.
• Extensive experience leading, managing, and integrating large, multi-disciplinary teams across data strategy, business intelligence, data management, and advanced analytics.
• Exceptional executive-level client relationship management skills, with proven ability to influence and consult with C-suite and senior government stakeholders, translating complex technical and analytical concepts into compelling strategic narratives.
• Deep understanding of the media planning and buying lifecycle, and the critical role of data and technology in driving effectiveness.
• Expertise in data governance, privacy regulations (e.g., GDPR), ethical data handling, and robust security protocols, especially in a highly regulated environment.
• Strategic familiarity with modern data stacks (e.g., cloud platforms like GCP, ingestion tools like Adverity, visualisation tools like PowerBI, and data transformation tools like dbt) and data clean room technology (e.g., InfoSum).
• Strong familiarity with advanced analytics techniques (MMM, attribution, incrementality), data engineering principles, data visualisation tools, and emerging technologies like AI/Machine Learning.
• Outstanding communication, presentation, and storytelling skills, capable of engaging and inspiring diverse internal and external audiences.

Life At WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around three to four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

As a hands-on Data Engineering Manager, you will lead the expansion and maintenance of our core data infrastructure while architecting custom partner integrations. You’ll be responsible for defining technical requirements for secure data exchange, ensuring the timely delivery of team objectives, and overseeing the operational health of our platform. Ultimately, your team provides the critical foundation that enables the company to build and scale impactful data products. 

What You’ll Be Working On

• Strategic Leadership & Alignment: Collaborate with the Senior Director of Engineering to align a team of three reports with internal roadmaps and broader business objectives. 
• Infrastructure & Orchestration:  Drive the evolution of our modern data warehouse and orchestration architecture by scaling reliable integrations while simultaneously integrating secure, AI-powered tools to enhance data lineage and documentation, ultimately boosting developer productivity and delivering measurable organizational value 
• Technical Governance: Establish and enforce rigorous best practices for data modeling, quality, observability, and security while ensuring compliance with HIPAA, GDPR, and other regulatory frameworks. 
• Team Development:  Provide dedicated technical leadership to the data engineering team by mentoring and managing performance, while actively overseeing task breakdowns and team coordination to ensure the successful, on-time delivery of critical projects 
• Partner Integration: Work alongside internal and external stakeholders to plan, build, and deploy custom data integration solutions. 
• Operational Excellence: Drive a culture of reliability by overseeing on-call processes, incident management, capacity planning, and infrastructure cost monitoring. 
• Service Level Management: Ensure timely resolution of technical issues and manage escalations in strict alignment with established Service Level Agreements (SLAs). 
• Quality & Compliance: Execute quality review processes to maintain adherence to service standards and contractual obligations. 
• Cross-Functional Support: Act as a technical liaison for external partners, providing high-level support and ensuring seamless data flow across the ecosystem. 

What You’ll Bring to OneStudyTeam

• Have 6+ years of hands-on data engineering experience with 3+ years of consistent agile leadership experience, ideally in a relevant industry working on regulated data 
• Incredible people skills, communication, and organizational skills 
• Deep practical experience with AWS (Redshift, Athena RDS (Postgres), S3, MSK, Glue, Lake Formation, etc.), Kafka, Apache Iceberg, and data orchestration tools such as Terraform, Prefect, and dbt 
• Experience with Python, SQL, back-end development and shell scripting 
• Deep technical knowledge in data modeling, data replication, and database design 
• Experience designing and operating large-scale, distributed systems with a focus on reliability, performance, and security.  
• Solid software testing, documentation, and debugging practices in the context of distributed systems 
• Experience managing an agile team with modern source control (git), code review, and CI/CD systems and methodologies 
• Knowledge of modern AI and ML tooling, such as vector databases, feature stores, ML platforms (e.g., Vertex AI, SageMaker), and generative AI frameworks and APIs used to build data- and AI-driven products.  
• Familiarity with AI-assisted developer and data tools (e.g., code assistants, AI-powered data quality, lineage, and documentation tools) and how to integrate them into engineering workflows safely and effectively.