SLSQ427R253

As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.

• Engage with the partner technical community by leading workshops, seminars, and meet-ups.

• You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.

• Show expertise by producing creative technical solutions and blog posts.

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)

Joining our Customer Data Science team, you’ll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You’ll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale.

What we expect from you

• Experience designing and delivering production-grade analytical Python solutions
• Experience working with relational databases, and SQL-like operations
• Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial
• Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
• Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards, and release processes

Responsibilities

• Design, build and own standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
• Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches
• Translate stakeholder requirements into robust, production-ready solutions
• Collaborate cross-functionally and mentor junior team members to raise engineering capability and impact

As part of the Data Infrastructure team you will be supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure. We call it data infrastructure engineering, also known as DataOps or Database Administration or SRE.

The role is a mixture of development of tooling and operational support for our platforms, two aspects that go hand-in-hand. It requires attention to detail and curiousity about how the systems work under the hood, and gives you a wide base of skills from low level system tuning to general coding. 

We manage four main storage platforms, namely:

• Apache Solr (~2.2 PB)
• Apache HBase (~450 TB)
• PostgreSQL (~15 TB)
• Kafka (~60 TB)

These platforms are all open source, written in Java, Scala or C, and we maintain in-house builds and patching of them. We use a variety of open-source and in-house developed tooling to manage these services, mostly written in Rust and Python, which run primarily on hundreds of servers in multiple data centres and in the cloud.

We maintain a balance between project work and operational/ad-hoc work for all members in the team, whether they are senior or recent graduates, and your day-to-day work will be a mix of these.

The exact project work will depend on your experience, but we will scope it out collectively to ensure it is both achievable and delivers benefit. Some example projects given to recent graduates are:

• Coding mapreduce jobs to validate data between two multi-TB+ hbase clusters (to run in hours rather than months)
• Building out a python code stack to transparently migrate production clients between clusters (without losing any data or requiring any downtime)
• Building and testing new HBase builds and deploying them live (without putting everyone in Brandwatch out of a job)
• Creating a platform for rolling out our data management systems using Apache Airflow (to stop people re-writing custom job management systems)
• Rolling out a DR solution for hadoop on AWS (while keeping the system performant and not bankrupting the company)

If you're joining the team as a graduate engineer we'll be focusing on developing your knowledge of the storage platforms, how to program against them and how to troubleshoot issues. The aim is that you'd be able to help with the staging support by 3-6 months, and join the rest of the team supporting the production systems in 12 months. You'll also be expected to take a full part in the life of the team and, as your experience grows, start designing the infrastructure we run.

This role is based in Brighton, UK, but working remotely will be possible once the initial 6-12 months of training is complete.

Who we are looking for

In house training for the storage systems and our tooling is a necessary part of this role, but we are looking for someone with a keen interest in large scale storage infrastructure.A successful candidate will be expected to have the following:

• An interest in how computer infrastructure actually works, and a passion for learning
• Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
• Experience with Linux systems administration, including experience of trouble shooting
• Fluency with one or more scripting languages, ideally Bash or Python
• Experience helping your peers
• Pride in the quality of your work
• Experience with any of the following will be beneficial:
  • Development experience, in Python, Java, Rust, C/C++ or Golang.
  • Upstream open-source contributions
  • Academic research in scalability, distributed systems or storage infrastructure
  • Kubernetes experience, ideally running or writing Operators Experience with Docker and with CI/CD pipelines

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

This means you might:

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

What we are looking for in our candidate

Essential

• 3+ years experience working in a Data Science role.
• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
• Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
• Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
• Track record of influencing team direction through your findings  
• A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
• Comfortable working asynchronously across time zones with cross-functional partners
• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.

Desired

• Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.
• Track record of promoting statistical rigour and experimental best practices in your prior roles.
• Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
• Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
• Experience working in a fast-moving tech company or startup.

About the Role:

Developing the audiences based on all the platforms and data available and interrogating data sources to derive insight to support the creation of the audiences, as well as curating insights from the local markets.

Providing the information required to enable the definition of targetable audience groups from the initial segment definitions and insights.

Manage the development of global audience catalogue for client brands. Manage the audience creation process.

This role will be part of a team of audience insights specialists that play a crucial role in understanding audience behavior and preferences. As experts in consumer data, analysis, and MarTech – we gather valuable insights to help our clients make informed decisions and develop effective marketing strategies, utilizing the industry’s most robust dataset in Omnicom’s proprietary platform – Omni. We’re looking for curious colleagues, who enjoy learning more about data, insights tools, and meeting the ever-changing needs of the industry.

Key Responsibilities: 

• Strategic partner for audience creation and optimizations through media campaign process
• Create audience insights: market, and audience sizing, behavioral insights on personas, to refine the audience segmentation
• Insight development and curation to support audience development
• Global audience creation with local market execution for biddable activation
• Education around data tool solutions to our local teams
• Insight development and curation to support audience development and validate targeting
• Provide guidelines and best practices to local market planning and activation teams to implement defined audience segments
• Programme effectiveness, ensure cross-market pollination of best practices

Ideal Exp: 

• Able to define and create addressable audiences from various data sources and insights for digital campaign activation.
• Present data and insights in a meaningful and impactful way for planners and strategy partners to understand
• Ability to generate a powerful storyline from data that is in multiple sources, tools and data environments
• Experience with Marketing and Media related data sources and technology like syndicated research sources (ComScore, TGI, GWI etc.)
• Able to provide business-like translation to complex data analytics solutions so that solutions are understood by marketers; and that agencies can sell repeatable offerings
• Understand the core principles of propensity model development and statistical segmentation algorithms
• Solutions oriented: analytic skills, critical thinking and problem-solving skills to drive issues to resolution
• Industry Knowledge in marketing analytics and data (1st and 3rd party data solutions, data platforms, aggregated and user level data)
• Familiar with website analytics packages (GA, Adobe Stack)
• Familiar with machine learning audience modelling techniques, including attribution modelling, market mix modelling, or multivariate model developments
• Familiar with digital tracking technologies (ad servers, DSPs, DMPs)
• Familiar with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Hadoop, Starburst
• Experience with project management tools such as Jira and Hive.
• Excellent on Excel, Word and Powerpoint

About Annalect EMEA:

Omnicom Media Group Europe (OMG EMEA) is the media division of Omnicom Group Inc., headquartered in London with offices in Manchester and Newcastle.

The Annalect EMEA team at OMG EMEA is the data, technology, and analytics division. We help CMOs and their teams harness data, technology, and advanced analytics to grow their brands. 

We have built a variety of innovative product and specialist service solutions for clients and agency partners.

We build and maintain the Omni platform which gives agency and client teams access to these capabilities as well as the ability to integrate and combine their own data and technology with Omni. Omni has over 30,000 active users and is recognized in the industry as a leading marketing platform. We continuously innovate the platform to ensure our clients stay ahead of their competitors in data driven marketing.

Our team of Annalectuals is growing rapidly and are based in over 80 countries around the globe, supported by global and regional team hubs in NY, London,  Singapore, Gurgaon, Bangalore, and Hyderabad.

The EMEA team is responsible for global and regional client relationships led from London, as well as the development of new data-driven marketing capabilities. They form part of our global team and collaborate closely with local market Annalect teams across EMEA as well as regional Omnicom agency partners.

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

This means you might:

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

What we are looking for in our candidate

Essential

• 3+ years experience working in a Data Science role.
• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
• Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
• Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
• Track record of influencing team direction through your findings  
• A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
• Comfortable working asynchronously across time zones with cross-functional partners
• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.

Desired

• Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.
• Track record of promoting statistical rigour and experimental best practices in your prior roles.
• Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
• Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
• Experience working in a fast-moving tech company or startup.

Data Architect

A few words about us:

First things first… What will you become a part of? Valtech is the experience innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional – helping brands make the leap beyond the competition and become leaders in a digital world

We deliver innovation with a purpose. With expertise across experience design, technology and marketing, our passion is in addressing transformational business challenges for our clients. Challenges where we re-imagine the customer journey and build new connected experiences. Challenges where we make data work in this new era and help our clients transform the way they operate and optimise business-critical digital platforms for multichannel commerce and marketing.

From discovery to optimisation, clients trust Valtech to remove complexity and deliver innovative, frictionless solutions that close the experience gap between customer expectation and reality. We are a network of more than 6,500 makers, thinkers, marketers, creatives, and developers spanning 5 continents with 60+ offices in 20+ countries.

The Role:

You’ll take overall responsibility on behalf of Valtech for the design and quality of data-centric solutions delivered to our customers. Our architects are involved in the detail, and you can expect to work closely with the engineering team.  You’re also likely to become a ‘go-to’ authority within the company when it comes to data solutions, keeping up to date with industry developments and using your experience to assess the risk profiles of new projects. 

What you will be doing:

You will have a broad responsibility for coordinating, leading and delivering solutions, this will include:

• Architectural design for new systems, primarily focused on data flow pipelines, storage and analytics
• Analysis of business problems to understand system requirements, including quality attributes such as performance, availability and security
• Undertaking information assurance where required
• Engagement of technical and non-technical customer stakeholders at various levels in the organisation, advising and managing expectations where required
• Technology evaluation / assessment; identifying & recommending platforms and services.
• Technical leadership of engineering teams, including mentoring where needed
• Representing the company in public forums
• Be instrumental in helping to build an Architecture function and work alongside a strong team of Data Scientists, Analysts and Data Engineers.

Our preferred candidate:

You’ll have several years of experience, having gone through the full project lifecycle on numerous occasions; you’ve seen how design decisions play out in production.  You may have worked in traditional data warehousing environments, but you are up to speed with more contemporary data architectures based on open source technologies.

Essential Expertise:

• Strong written, diagrammatic and spoken communication; ability to present to senior stakeholders
• Experience with varied types of data: tabular, connected, time-series, geospatial, image, etc.
• Different types of database – relational; document; graph; columnar; key-value
• Large scale data processing platforms, typically based on Hadoop / Spark
• Business intelligence / analytics products or frameworks
• Data visualisation frameworks
• Data analysis and data modelling requirements
• Experience working with cloud platforms and working with relevant PaaS / SaaS offerings.
• Knowledge of data integration technologies
• Knowledge of distributed computing & information security
• Programming experience in languages such as Java or Python is a bonus.
• While you may not have an exclusively agile background, you strive to work to these principles.

Valtech Benefits:

Here at Valtech we’re big believers that our staff are our most important asset, and as such we want to make sure we look after you.

As well as all the usual corporate benefits (hybrid & flexible working, pension, life insurance, 25 days holiday, phone, laptop,  private healthcare & dental etc), we pride ourselves on our commitment to continuous learning and development, which means you’ll have a clear growth and development path, alongside access to professional coaching and online learning courses.

You’ll be joining an inclusive and diverse workforce, working on truly exciting projects with collaborative teams at a local and global level, with a big focus on health and social well-being (Cycle to Work Scheme, Employee Assistance Programme, eye tests, Flu Jab, regular Company Days etc). 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

We’re looking for a talented Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers and suppliers.

Joining our team, you’ll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You’ll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You’ll have the opportunity to present results to a variety of internal stakeholders and will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules.

This role will be focussed across insight automation and product assortment, with applications of science including identifying new and growing product needs, optimising the mix of products, predicting the impact of changes, product attribute generation and applications of generative AI for product support and insights.

What you'll be doing:

• Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
• Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them on client data.
• Perform exploratory data analysis to characterise and visualise datasets 
• Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
• Help identify new opportunities within the Data Science space for future dunnhumby solutions.
• Implement advice from colleagues to resolve challenges.
• Follow Quality Assurance processes, ways of working and meet coding standards.
• Ensure smooth running of your projects, working with senior team members for direction.
• Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.

Who you’ll get to work with:

• Within dunnhumby you’ll primarily work with
• Applied and Research Data Scientist teams
• Data Science Engineering teams
• Product and Client teams where required

What you'll need:

• Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
• Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
• Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
• Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
• A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.

A plus if you also have:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
• Experience in retail sector.

We’re looking for a talented Senior Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers and suppliers.

Joining our team, you’ll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You’ll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You’ll have the opportunity to present results to a variety of internal stakeholders and will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules.

This role will be focussed across insight automation and product assortment, with applications of science including identifying new and growing product needs, optimising the mix of products, predicting the impact of changes, product attribute generation and applications of generative AI for product support and insights.

What you'll be doing:

• Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
• Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them on client data.
• Perform exploratory data analysis to characterise and visualise datasets 
• Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
• Help identify new opportunities within the Data Science space for future dunnhumby solutions.
• Implement advice from colleagues to resolve challenges.
• Follow Quality Assurance processes, ways of working and meet coding standards.
• Ensure smooth running of your projects, working with senior team members for direction.
• Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.

Who you’ll get to work with:

• Within dunnhumby you’ll primarily work with
• Applied and Research Data Scientist teams
• Data Science Engineering teams
• Product and Client teams where required

What you'll need:

• Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
• Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
• Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
• Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
• A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.

A plus if you also have:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
• Experience in retail sector.

Senior Azure Data Engineer (Databricks)

Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Engineer advanced data solutions at scale in a world-class consulting environment

The Role

As a Senior Azure Data Engineer (Databricks) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure. You’ll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You’ll also contribute to best practice implementation and continuous improvement within cross-functional engineering teams.

What You’ll Do

• Design and develop robust pipelines using DeltaLake, Spark Structured Streaming, and Unity Catalog

• Build real-time event-driven solutions with tools such as Kafka and Azure Event Hubs

• Apply DevOps principles to develop CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions

• Collaborate with clients and stakeholders to translate data needs into strategic technical solutions

• Champion clean code, data lifecycle optimisation, and software engineering best practices

What We’re Looking For

• Proven hands-on experience with Databricks platform and orchestration

• Strong skills in Python, PySpark, and SQL, with knowledge of distributed data systems

• Expertise in developing full lifecycle data pipelines across ingestion, transformation, and serving layers

• Experience with data lakehouse architecture, schema design, and GDPR-compliant solutions

• Working knowledge of DevOps tools and CI/CD processes

Bonus Points For

• Development experience in Scala or Java

• Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem

• Understanding of data privacy regulations, including GDPR, and experience working with sensitive data

• Ability to learn and adapt new technologies quickly to meet business needs

• Collaborative mindset with a passion for innovation and continuous learning

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy.

Benefits 

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. 

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. 

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. 

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. 

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. 

• Continuous Learning:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. 

• Healthcare Access: Convenient online GP services. 
• Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-DNI

Data Science Manager

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Shape intelligent solutions. Lead with insight. Drive data innovation.

The Role

We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value.

What You’ll Do

• Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions.
• Drive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks.
• Collaborate with business and technology teams to align technical outcomes with strategic goals.
• Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment.
• Mentor and develop data professionals, fostering a culture of innovation and excellence.

What We’re Looking For

• Proven experience leading the delivery of data science or AI projects from concept to production.
• Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).
• Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).
• Deep expertise in MLOps principles, scalable model deployment, and model governance.
• Excellent communication and stakeholder management skills with the ability to translate data insights into business value.

Bonus Points For

• MSc or PhD in a numerate discipline.
• Experience in Banking or Financial Services.
• Exposure to GenAI, LLMs, and intelligent agent workflows.
• Experience with DevOps, CI/CD, and productionising ML systems.
• A passion for mentoring and developing early-career data talent.

Why Join Capco

• Deliver innovative, high-impact data solutions for Tier 1 financial institutions.
• Work in a collaborative, entrepreneurial consulting environment.
• Access continuous learning, training, and industry certifications.
• Join a growing global Data Practice of 800+ experts driving transformation.
• Be part of a culture where individuality, creativity, and collaboration are celebrated.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Minimum 40 hours of training annually-choose workshops, certifications, or e-learning-your growth, your way. Business Coach assigned from Day One for one-on-one guidance.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco

We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know -we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity, and inclusion, and we bring a collaborative mindset to everything we do #LI-DNI

Senior Data Engineer - AWS 
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Engineer future-ready data platforms that power financial transformation.

The Role
We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next-gen transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact the way data is ingested, transformed, and served at scale across the financial services industry.

What You’ll Do

• Design and build end-to-end data pipelines leveraging AWS-native tools and modern data architectures.

• Collaborate with clients to gather requirements, define solutions, and deliver production-grade systems.

• Apply AWS Well-Architected Principles to ensure scalability, security, and resilience.

• Lead in the development of robust, tested, and fault-tolerant data engineering solutions.

• Support and mentor junior engineers, contributing to knowledge sharing across the team.

What We’re Looking For

• Proficient in one of Python, Scala or Java with strong experience in Big Data technologies such as: Spark, Hadoop etc.

• Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis).
• Proficiency in AWS cloud environments.
• Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing.

• A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR.

Bonus Points For

• Expertise in Data Modelling, schema design, and handling both structured and semi-structured data.

• Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks.

• Exposure to AWS Lake Formation and automation of ingestion and transformation layers.

• Background in delivering solutions for highly regulated industries.

• Passion for mentoring and enabling data engineering best practices across teams.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.

• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.

• Healthcare Access: Convenient online GP services.

• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day. #LI-DNI

AWS Data Engineer (Mid-Level)
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Empower the future of finance with transformative data solutions

The Role
As an AWS Data Engineer at Capco, you'll design and build scalable, secure, and well-tested data pipelines for some of the world's largest financial institutions. You’ll play a key role in digital and data transformation initiatives, collaborating closely with cross-functional teams to deliver impactful, production-grade solutions across cloud and on-premise environments.

What You’ll Do

• Design and develop robust data pipelines across streaming and batch environments

• Lead engineering best practices including CI/CD, testing, and automation

• Contribute to architecture discussions and cloud migration strategies

• Collaborate with clients to define requirements and deliver innovative solutions

• Support internal capability development by sharing your expertise and experience

What We’re Looking For

• Strong hands-on experience with Python, Java, or Scala

• Proficiency in AWS cloud environments and big data tech (Spark, Hadoop, Airflow)

• Solid understanding of SQL, ETL/ELT approaches, and data modelling techniques

• Experience building CI/CD pipelines with tools like Jenkins or CircleCI

• Knowledge of data security protocols and distributed system design

Bonus Points For

• Experience with messaging systems (Kafka, Spark Streaming, Kinesis)

• Familiarity with schema design and semi-structured data formats

• Exposure to containerisation, graph databases, or machine learning concepts

• Proficiency with cloud-native data tools (BigQuery, Redshift, Snowflake)

• Enthusiasm for learning and experimenting with new technologies

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy.

Benefits

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. 

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. 

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. 

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. 

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. 

• Continuous Learning:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. 

• Healthcare Access: Convenient online GP services. 

• Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-DNI

Principal Data Engineer - AWS 
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Engineer future-ready data platforms that power financial transformation.

The Role
We’re looking for a Principal Data Engineer with AWS to join our growing team of engineering experts driving next-gen transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact the way data is ingested, transformed, and served at scale across the financial services industry.

What You’ll Do

• Design and build end-to-end data pipelines leveraging AWS-native tools and modern data architectures.

• Collaborate with clients to gather requirements, define solutions, and deliver production-grade systems.

• Apply AWS Well-Architected Principles to ensure scalability, security, and resilience.

• Lead in the development of robust, tested, and fault-tolerant data engineering solutions.

• Support and mentor junior engineers, contributing to knowledge sharing across the team.

What We’re Looking For

• Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc.

• Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis).

• Proficiency in AWS cloud environments.
• Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing.
• A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR.

Bonus Points For

• Expertise in Data Modelling, schema design, and handling both structured and semi-structured data.

• Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks.

• Exposure to AWS Lake Formation and automation of ingestion and transformation layers.

• Background in delivering solutions for highly regulated industries.

• Passion for mentoring and enabling data engineering best practices across teams.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.

• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning—your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.

• Healthcare Access: Convenient online GP services.

• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day. #LI-DNI