As part of the Enterprise Data & Intelligence (EDI) team, you will play a key role in enabling company-wide data-informed decision making. Business and Product teams rely on our data assets to analyze and optimize user adoption, growth, and revenue.

The ideal candidate will have a strong mix of technical and collaboration  skills. They should be able to quickly understand business priorities and proactively develop and enhance tools, automations and analytics that support those priorities.

This role is based in our Warsaw office with an office-centric hybrid schedule - in-office days are Monday, Tuesday, and Thursday. 

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

• Design, implement and scale end-to-end data products that support growing data processing and analytical needs.
• Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
• Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.
• Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.

About you

• 5+ years of hands-on experience in Data Engineering or Software Engineering.
• Degree in computer science, engineering or equivalent technical field experience.
• Proficient in cloud-based data processing and storage technologies like Databricks, Snowflake, AWS S3, Spark, Airflow.
• Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
• Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we offer

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) 
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 20,833 - 22,983 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs). 

#LI-Hybrid 

Role:  Transcreation Manager 

Location:  Warsaw, Poland

About the role: 

We are recruiting a Transcreation Manager to work as part of our team and deliver excellent marketing communication in various languages (transcreations).

What you will be doing: 

As Transcreation Manager you will be planning and organising translation and transcreation jobs, liaise with in-market-creatives (copywriters, transcreators, translators and editors), allocate jobs and track project progress.  

We are strongly committed to delivering the best possible international communication, and part of your job is therefore to quality-check transcreations at different project stages. You will have the opportunity to liaise with various stakeholders and clients, as well as to build strong relationships with in-market creatives and work with different people and talents around the world. You will be working across all marketing channels and gain insights in other account teams such as production, digital, broadcast or on-site client teams.  

Part of the job is also to execute administrational tasks such as PO and raising sales orders, building glossaries as well as maintaining and managing translation memories. You will also be required to plan your projects at hand in a proactive manner, monitor their progress and solve problems that might arise. The ability to multi-task and a keen eye for detail are necessary.  

What you need to be great in this role: 

• Minimum 3 years working experience is essential
• University degree in marketing, languages, business or related field
• Native speaker of a foreign language is highly desirable (ideally English + French/Japanese/Korean/Dutch/German or Polish)
• On the job training will be provided 

Req ID: 17486

#LI-JP1 #LI- MidSenior #LI-Remote

About the role

Starburst is looking for an experienced Staff Software Engineer to sit at the intersection of software engineering and data engineering — building the internal platforms, pipelines, and data products that power how we understand our customers and our business. You'll work across Starburst Enterprise and Starburst Galaxy, using our own technology to solve real problems at scale, while also contributing software that other teams depend on.

Because data engineers are one of our primary target personas, you'll bring a uniquely valuable perspective: you'll use our products daily and feed that experience directly back into how we build and improve them. You'll work closely with a dynamic, talented, globally distributed team, writing production-quality software alongside building reliable data systems — with a consistent emphasis on quality, maintainability, and speed to insight.

As a Staff Software Engineer at Starburst you will:

• Design, build, and operate a high-quality data lake and the software systems that feed it, supporting product management, finance, customer support, and engineering
• Write production-grade software — services, APIs, tooling, and automation — that enables data workflows and integrations at scale
• Find innovative ways to use Trino and Starburst to solve complex data management and software architecture challenges
• Collaborate with technical leads, product managers, and data analysts to build robust data products and analytics
• Leverage AI to democratize access to datasets for users throughout Starburst, including building and maintaining the software infrastructure that makes this possible
• Enable dataset preparation and model evaluation for Starburst's AI projects
• Define and evolve engineering processes and best practices that span both software and data domains, with a focus on reliability and actionable results
• Work closely with leaders across teams to iterate on data architecture and the software systems that implement it, keeping quality high at every layer
• Identify emerging patterns in data management and software engineering, and work with Starburst's product teams to bring those innovations to market

Some of the things we look for

• A Trino enthusiast looking to push the bounds in an AI future
• At least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both
• Strong software engineering fundamentals: writing clean, testable, well-reviewed code in Java, Python, or Scala
• Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks
• Experience designing and building backend services, APIs, and data platform components
• Experience managing data and application infrastructure in public clouds, particularly AWS (EMR, EC2, S3, IAM); multi-cloud experience (GCP/Azure) is a plus
• Experience using and managing orchestration frameworks such as Apache Airflow or Dagster
• Knowledge of RAG and other design patterns for AI-powered applications
• Fluency in SQL and comfort moving between SQL and general-purpose programming as the task demands
• Experience building API integrations for extracting data from third-party sources
• Knowledge of data modeling techniques appropriate for modern data lakes
• Proficiency with Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible
• A track record of shipping reliable software and data systems on time, with disciplined practices around testing, code quality, and review
• Strong written and verbal communication skills, with the organizational ability to coordinate across teams

Where could this role be based?

• San Francisco, US

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

Our employees in Poland are employed under a contract of employment.

What you’ll achieve

• Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Mobile team.
• Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions.
• Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our data warehouse to help answer all types of questions proactively.
• Building dashboards to highlight impact potential and other areas of opportunities.
• Communicating effectively and presenting to both technical and non-technical audiences.
• Establishing the Data Science presence in a new office and providing mentorship as the office grows. 

About you

• Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience
• 7+ years of experience in applying data science techniques to drive technical product development and decision-making
• Strong technical background in statistics, math, computer science, information science, or another quantitative field
• Fluency in at least one data processing and programming language (e.g. Python, R), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift)
• Expertise in statistical methods and experimental design and analysis
• Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
• Excellent written and verbal communication skills
• Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

• Generous, transparent and fair compensation system
• Contract of Employment (and the option of  50% tax deductible costs for author’s rights usage in respect of  applicable roles ) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 24,960 PLN - 31,937 PLN gross per month (subject to all taxes and necessary deductions) . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity and  sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AZ

Graphic Designer (with POS experience)

Location: Warsaw, Poland (hybrid)

Employment: permanent (UoP)

About the role: 

What you will be doing: 

What you need to be great in this role: 

Req ID: 16504

#LI-JP1 #LI-midsenior #LI-Hybrid

#LI-VM1
#LI-Hybrid

About the role 

As a Staff Engineer on the Spark Job Manager and Starburst Enterprise team, you will own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers. You will lead the design and implementation of JVM-based services and the surrounding infrastructure: Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows. This is a staff-level role requiring architectural leadership, cross-team influence, and long-term platform ownership.

As a Staff Software Engineer at Starburst, you will: 

• Own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers.
• Lead the design and implementation of JVM-based services and the surrounding infrastructure, including Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows.
• Provide architectural leadership, cross-team influence, and long-term platform ownership.

Some of the things we look for:

• Deep Backend Engineering & Distributed Systems:
• 8+ years of professional backend experience, with strong expertise in Java (primary and required) and production experience building JVM-based services.
• Experience designing and operating distributed systems in production. Working with Spark, Trino/Presto, or comparable distributed compute engines is a strong plus.
• Extensive experience designing and evolving RESTful APIs, including validation, error modeling, pagination, filtering, backward-compatible versioning, and OpenAPI documentation.
• Infrastructure & Operations:
• Hands-on production experience with Kubernetes (authoring manifests/Helm charts) and strong Docker experience (multi-stage builds, image optimization, security best practices).
• Experience owning CI/CD for complex Java codebases, using GitHub Actions (preferred) or Jenkins.
• Practical AWS experience with S3 (or S3-compatible object storage), IAM roles/policies, and AWS SSO.
• Familiarity with secure authentication mechanisms: OAuth2 / OIDC, token-based auth, and session management.
• Experience implementing Metrics (Prometheus preferred), Distributed tracing (OpenTelemetry), and structured logging for JVM services is a plus.
• Staff-Level Impact:
• Proven experience leading architecture across multiple services or systems.
• Demonstrated ability to drive cross-team RFCs, break down ambiguous problems, influence engineering standards, and raise the technical bar through code reviews and mentorship.
• Own long-term platform health, not just feature delivery.
• Highly Preferred Experience:
• Experience building job orchestration platforms.
• Experience working in enterprise / B2B environments.
• Strong Python skills for automation and tooling.
• Experience running systems in hybrid or on-prem environments.
• Collaboration on open-source projects is a strong plus.
• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs.

Where could this role be based?

• This role is based in our Warsaw office and follows a hybrid model, with an expectation of being onsite 2-3 days per week.

Salary ranges: 440,000 - 540,000 PLN anually 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We’re looking for a Quality Assurance Engineer to join our team, focusing on our Open Intelligence data initiative. While our team builds and maintains an enterprise-grade production system for this initiative, your critical role will be to ensure the quality, reliability, and accuracy of our data, services, and platforms. You’ll play a key role in enabling WPP Media to leverage its data assets with confidence, ensuring they are correct, consistent, and available across the business. This role requires diligence, independence, technical savviness, and strong communication skills. It requires an understanding of brand, adtech, and marketing data, as well as the enterprise context. This is a hands-on technical role for an enterprising individual, who can balance contributing to long-term quality improvement initiatives with immediate attention to validating new features and addressing incidents. It also requires good communication skills, as you will be collaborating with and providing quality insights to engineers and product stakeholders across the globe. You will also collaborate closely with our product division to ensure transparency on the quality status to the business side. 

You are: 

• A leader who empowers teams, removing impediments and fostering an environment of collaboration and psychological safety. 
• An expert facilitator, skilled at guiding teams through Agile ceremonies and discussions to achieve clear outcomes. 
• A strong communicator and coach, adept at nurturing Agile mindsets and practices across individuals and the organization. 
• Proactive and adaptable, able to anticipate challenges, resolve conflicts, and guide teams through change. 
• Passionate about continuous improvement, always seeking ways to optimize team performance and delivery predictability. 

What you will do:

• Test Design & Execution: Develop, maintain, and execute comprehensive test plans, test cases, and test scripts for custom services, data stores, and data processing pipelines to ensure functional correctness, data integrity, and performance. 
• Automation: Contribute to the development, and maintenance of automated tests (e.g., API and data validation) within our existing frameworks, integrating them into our CI/CD pipelines. 
• Data Quality Assurance: Implement and maintain automated systems for result consistency checks, performing thorough data validation and reconciliation to ensure the accuracy and reliability of our Open Intelligence data assets. 
• Defect Management: Identify, document, prioritize, and track defects using appropriate tools, working closely with engineering and product teams to ensure timely resolution and re-testing. 
• Quality Advocacy: Contribute to identifying and addressing technical debt related to testability and quality within our data platform, advocating for quality best practices throughout the development lifecycle. 
• Collaboration: Support our regional and services teams by ensuring that best practices for testing data pipelines and services are followed and actively participate in code reviews for test automation. 
• Reporting: Design and contribute to systems for cross-region quality monitoring and reporting, ensuring transparency on the quality status for our Product organization. 

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 2-4 years of hands-on experience in Quality Assurance or Software Testing roles, ideally within data-intensive and cloud-native environments. 
• QA Fundamentals: Strong understanding of software QA methodologies and tools. 
• Automation Skills: Proven experience in developing and maintaining automated tests using at least one modern test automation framework (e.g., Playwright) and a scripting or programming language (e.g., Python). 
• API Testing: Hands-on experience with API testing tools (e.g., Postman) and understanding of RESTful APIs. 
• SQL/Spark Proficiency: Strong ability to write and execute complex SQL queries or Spark jobs for data validation, data integrity checks, and backend testing. 
• Cloud Understanding (GCP preferred): Basic understanding of cloud platforms and how applications are deployed and managed within them (e.g., containerization with Docker, orchestration). 
• Data Domain Knowledge: Interest in brand, adtech, and marketing data, and the ability to apply this understanding to testing data correctness and availability. 
• CI/CD & Version Control: Experience working with CI/CD pipelines, version control (Git), branching strategies, and testing best practices. 
• A proactive approach to solving problems and improving systems. 

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 access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

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 are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

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 two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are seeking an exceptional and visionary Principal Engineer to join our Data & Technology Solutions leadership team. This is a critical role for an individual who embodies deep technical expertise, strategic architectural thinking, and impactful leadership. You will be responsible for defining the technical vision and direction for core components of our data products and AI platforms, including WPP Open, ensuring their scalability, reliability, and innovation within the demanding AdTech landscape. You will mentor senior engineers, drive best practices, and play a pivotal role in shaping our engineering culture and future. 

You are: 

• A distinguished technical leader with a proven track record of architecting, building, and delivering large-scale, complex distributed systems. 
• A strategic thinker capable of translating business goals into long-term technical roadmaps and influencing organizational strategy. 
• An inspiring mentor who elevates the technical capabilities and careers of those around them, fostering a culture of engineering excellence. 
• A master problem-solver who thrives on tackling the most challenging technical hurdles and making high-impact decisions. 
• An influential communicator, adept at articulating complex technical concepts to diverse audiences, from junior engineers to executive leadership. 

What You will do:

Drive Technical Vision and Architectural Strategy 

• Define and champion the technical vision and long-term architectural strategy for critical data products, AI platforms, and core services within WPP Open. 
• Lead the design and implementation of highly scalable, resilient, and performant distributed systems, ensuring they meet current and future business needs. 
• Evaluate and select new technologies, frameworks, and tools, establishing best practices and engineering standards across multiple teams. 
• Anticipate technical challenges and opportunities, proactively proposing innovative solutions that align with WPP's strategic objectives. 

Provide Technical Leadership and Mentorship 

• Act as a technical leader and role model, providing expert guidance, mentorship, and coaching to senior engineers and engineering managers across multiple teams. 
• Drive continuous improvement in engineering practices, code quality, testing methodologies, and operational excellence. 
• Lead complex technical discussions, design reviews, and architectural decision-making processes, ensuring robust and well-reasoned outcomes. 
• Foster a culture of technical innovation, continuous learning, and accountability within the engineering organization. 

Solve Complex Problems and Deliver Impact 

• Take ownership of the most challenging technical problems, providing hands-on expertise and leading cross-functional efforts to find elegant and efficient solutions. 
• Ensure that technical solutions align with product requirements and deliver maximum business value, balancing short-term delivery with long-term architectural health. 
• Drive the resolution of critical production issues, contributing to incident response and post-mortem analysis to prevent recurrence. 
• Influence the overall product roadmap and engineering strategy through deep technical insight and understanding of market dynamics in AdTech. 

Cross-Functional Collaboration and Influence 

• Collaborate closely with Product Leadership, Data Science, and other Engineering teams to align technical strategy with product vision and business goals. 
• Communicate complex technical concepts and architectural decisions effectively to both technical and non-technical stakeholders, including executive leadership. 
• Represent WPP's technical capabilities internally and externally, contributing to our reputation as a leader in marketing technology. 

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have:  

• 10+ years of progressive experience in software engineering, with at least 3 years in a Principal Engineer, Staff Engineer, or equivalent senior technical leadership role. 
• Demonstrated expertise in architecting, developing, and operating large-scale distributed systems in a cloud-native environment (AWS and/or GCP preferred). 
• Deep proficiency in multiple programming languages (e.g.,  Python, Java, Scala), and a strong understanding of their ecosystems, performance characteristics, and best practices. 
• English fluency B2/C1 
• Extensive experience with various database technologies (relational, NoSQL, graph, data warehouses) and data processing frameworks (e.g., Spark, Kafka). 
• Expert-level understanding of cloud infrastructure components (e.g., Kubernetes, serverless, networking, security, observability). 
• Proven track record of defining and implementing technical strategies that resulted in significant business impact and improved engineering velocity. 
• Exceptional leadership, mentoring, and coaching skills, with a passion for developing engineering talent. 
• Outstanding problem-solving abilities and the capacity to make critical technical decisions under pressure. 
• Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences. 
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent extensive practical experience. 

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 access to internal learning platforms, certifications, and training sessions, life insurance, medical care & sports card in Medicover, funding for English language learning, employee mental health awareness day, and more.  

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 are committed to offering equal opportunities to all employees, which is why we only establish collaborations based on employment contracts. 

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 two days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Following a detailed review of all applications, we will contact those candidates whose qualifications and stated terms of cooperation most closely align the objectives of our recruitment process.

The controller of your personal data is the WPP Media Poland sp. z o.o.The personal data you provide will be processed for the purpose of the recruitment process.  By providing us with personal data beyond the scope required by the Labour Code, you consent to the processing of such data for the purposes of the recruitment process.  Consent may be withdrawn at any time. Withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal. For evidence purposes, please withdraw your consent in writing or by email to RODO@wppmedia.com. 

A Career with Point72’s AI/ML – Investment Services Team

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.

What You’ll Do

• Architect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
  • Ingest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources
  • Collaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs
  • Optimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)
  • Enforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM
  • Build automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads
  • Support the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams
  • Continuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities

What’s Required

• Bachelor’s or master’s degree in computer science or engineering
• 3+ years of experience in data engineering or related field 
• Strong experience in Python development
• Experience with Spark or Scala
• Proficiency in building scalable, distributed data pipelines in a cloud environment
• Solid understanding of data architecture principles, data modeling, and data warehousing
• Ability to devise novel and innovative solutions to challenges
• Knowledge of/experience with graph databases is a plus
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

Location: Poland

We Are:

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

You Will: 

We're looking for a Senior Software Engineer to help us design, build, and optimize high-performance backend systems that power real-time bidding (RTB) and machine learning at internet scale. You’ll cooperate on software that handles billions of daily transactions with strict latency and reliability constraints - all in a distributed, low-latency environment.

Desired Experience: 

• Expertise in designing and implementing complex IT systems.
• Ability to develop user-friendly, versatile tools.
• Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
• Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
• Deep understanding of algorithms and data structures.
• Initiative and creativity to improve existing solutions.
• Ability to cooperate effectively both within and across teams.

Additional Advantages:

• Previous experience in the field of Machine Learning is not required, but would be an asset.
• Solid foundation in mathematics.
• Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow.
• Proven experience with distributed systems.
• Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
• Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.

In Return, We Offer:

• A highly competitive salary.
• The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
• Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
• An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
• The ability to see the immediate impact of your cooperate on the company's business outcomes.
• The possibility of publishing your results.
• Cooperation based on B2B contract.

Daily Responsibilities:

• Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
• Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
• Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
• Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.

Apply now!

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Location: Poland

We Are:

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

Desired Experience:

• Expertise in designing and implementing complex IT systems.
• Ability to develop user-friendly, versatile tools.
• Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
• Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
• Deep understanding of algorithms and data structures.
• Initiative and creativity to improve existing solutions.
• Ability to work effectively both within and across teams.

Additional Advantages:

• Previous experience in the field of Machine Learning is not required, but would be an asset.
• Solid foundation in mathematics.
• Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow.
• Proven experience with distributed systems.
• Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
• Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.

We Offer:

• The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
• Flexible cooperate hours, with the possibility of remote cooperate or cooperate from our office in Warsaw.
• Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
• An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
• The ability to see the immediate impact of your cooperate on the company's business outcomes.
• The possibility of publishing your results.
• Cooperation based on B2B contract or Contract of Mandate
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Daily Responsibilities:

• Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
• Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
• Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
• Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.

Apply now!

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Capco Poland

Murex Consultant (Integration)

We are looking for Poland based candidate. 

We’re looking for a Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

As a Software Engineer in the Insights team, you will play a vital role in shaping the data ecosystem at Bolt. You will deliver frameworks, libraries, and automations that make it effortless to build, test, and deploy thousands of data models, metrics, and BI reports.

You’ll work closely with data producers to turn their toughest challenges into scalable, elegant platform solutions. We’re solving complex engineering problems at scale to ensure that Bolt’s data modelling ecosystem stays reliable, cost-effective, and performant.

• You have 3–4 years of experience as a software or data engineer, and have hands-on experience building and deploying data pipelines or analytics workloads in cloud environments.
• You’re proficient in Python and SQL, developing production-ready code for internal libraries, data pipelines, and automation.
• You have excellent communication skills, are fluent in spoken and written English, and you’re comfortable collaborating with both technical and non-technical colleagues.
• You understand modern CI/CD practices and value automation, testing, and observability as core engineering principles.
• You’re driven by customer success - motivated by helping teams be more productive and enabling them to build better data products.
• Bonus points for experience with tools like Databricks, Spark, dbt, Looker, or DataHub, and interest in exploring AI-assisted analytics or developer productivity tooling.

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

Capco Poland

Murex Consultant (Integration)

We are looking for Poland based candidate. 

We are looking for Poland based candidate. 

At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.

Role Overview:
We are looking for an experienced Murex Domain Integration Specialist to join our team and support integration across multiple domains within the Murex platform. The ideal candidate will have strong technical expertise in Murex, combined with a solid understanding of capital markets and system integration processes.

Key Responsibilities:

• Design, develop, and maintain integrations within the Murex platform (MX.3) and external applications
• Collaborate with business and IT stakeholders to gather and analyze integration requirements
• Configure and implement Murex interfaces across front-to-back domains (e.g. FO, BO, risk, accounting)
• Work on data flows, trade lifecycle events, and system connectivity
• Support and enhance existing Murex environments, including troubleshooting and performance optimization
• Ensure data consistency and integrity across integrated systems
• Participate in system upgrades, testing, and release management
• Provide technical support and documentation for integration solutions

Required Skills & Experience:

• Strong hands-on experience with Murex (MX.3), particularly in integration setup
• Solid understanding of capital markets products (e.g. derivatives, FX, rates, equities)
• Experience with business object workflows and exchange interfaces
• Knowledge of integration technologies (APIs, messaging, batch processing, mainframe technologies)
• Experience with XSLT, SQL, Unix/Linux
• Familiarity with trade lifecycle
• Strong analytical and problem-solving skills

Nice to Have:

• Experience with Murex upgrades or migrations
• Knowledge of Agile methodologies
• Previous experience in investment banking or financial services environments

Soft Skills:

• Strong communication and stakeholder management skills
• Ability to work independently and in a fast-paced environment
• Detail-oriented with a proactive approach

ONLINE RECRUITMENT PROCESS STEPS

• Screening call with Recruiter
• Technical Interview
• Client Interview 
• Feedback/Offer

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.

Capco Poland

Murex Consultant (Integration)

We are looking for Poland based candidate. 

ONLINE RECRUITMENT PROCESS STEPS

• Screening call with Recruiter
• Technical Interview
• Client Interview 
• Feedback/Offer

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.

Web Scraping Engineer, Mi-Platform

A Career with Point72’s Market Intelligence Team
Point72’s Market Intelligence team is responsible for developing proprietary research products, providing data and research management services for investment teams, to support their pursuit of superior, risk-adjusted returns. We leverage innovative alternative data sources, advanced data analytics and technologies, as well as deep fundamental research to create high-quality compliant and differentiated research. Backed by the full resources of Point72, our sector-aligned teams collaborate to solve important research problems in partnership with the Firm’s investment and compliance professionals. 

What you’ll do
As a Data Engineer focused on Web Scraping, you will be building solutions for processing big and unstructured data sets at Point72. You will be responsible for extracting and ingesting data from websites, using compliance-approved web crawling tools. In this role you will:

• Own the creation process of these tools, services, and workflows to improve crawl/scrape analysis, reports and data management
• Be responsible for testing the data and the scrape to ensure accuracy, quality, and compliance
• Own the process to identify and rectify any issues with breaks as well as scale scrapes as needed

What’s required

• Solid Python and SQL knowledge
• Experience in running automated programs at scale
• Working experience with cloud-based technologies
• Familiarity with Linux/UNIX, HTTP, HTML, JavaScript and Networking,
• Familiarity with common techniques and tools for crawling, extracting and processing data (e.g., Requests BeautifulSoup, Scrapy, Pandas, Selenium, Spark, etc.)
• Working knowledge of version control systems and open source practices
• Great analytical and problem-solving skills
• Great communication skills (written and spoken in English)
• Bachelor's Degree in Computer Science or a related field or the equivalent demonstrated experience
• Experience with extracting text from PDFs, images, applications, etc. is a plus
• Experience with system monitoring / administration tools is a plus
• Experience with working with applications designed to display archived web content is a plus
• Commitment to the highest ethical standards
• Prior experience with analyzing big data sets

We take care of our people
We invest in our people, their careers, health, and well-being. We want you to concentrate on the success and leave the rest to us. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at Point72.com/Warsaw.

A Career with Point72’s Market Intelligence Team

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

What you'll do

Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will:

• Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
• Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers
• Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies
• Build and support visualization and exploration capabilities around our big data sets.

What's required

• Experience or demonstrated interest in big data technologies
• 3+ years of experience in Data Engineering or related field
• Strong experience in Python Development
• Experience with Spark or Scala
• Ability to devise novel and innovative solutions to challenges
• Knowledge of/experience with graph databases is a plus

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

• Sports card

• Private life insurance

• Private medical and dental care, with vision allowance

• Private pension scheme

• Volunteer opportunities

• Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community

• Business travel accident insurance

• Employee assistance program

• Educational assistance reimbursement

About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.

A Career with Point72’s Technology Group

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

We’re looking for individuals that are highly proficient in their respective technology platform, articulate, solution driven, client focused, and proactive in building their technology skills.

What you’ll do

You will be part of the team that builds a multitenant data platform to onboard internal and external data sources and perform a central role in data ingestion, consumption, and cataloguing. You will join a team of experts in data pipelines focusing on data streaming and acquisition, storage of the data in multiple forms (raw, normalized, operational vs historical), ELT, transformation, distribution, access layers for different types of technical access and entitlements. Building and enhancing our data platform includes applying data lake components with raw data, joined operational data, a warehouse for history and API, and an access layer, across on prem and cloud technologies and clients. In this role, you will be responsible for leading and providing best practices for the team managing the Data Platform on AWS for our Firm. You will work closely with the architect/business for gathering requirements and delivering. As a Lead Python Engineer, you will be:

• Working together with Engineering Managers and the rest of Leadership team in Poland and US

• Planning projects and successfully delivering them with the team

• Building data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering

• Working extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc)

• Improving excellence of the team, processes, and practices within the company

• Working with customers towards a project’s success

What’s required

The ideal candidate should be experienced in Python and AWS Cloud with good communication skills.

• Excellent Python and software craftsmanship skills (more than 3 years)

• Experience with working in microservices framework and event-driven architectures

• Experience with Spark (building scalable and maintainable pipelines in PySpark and Scala)

• Experience with Spark Streaming (building low latency pipelines)

• Experience with Delta format (opensource Delta Lake project)

• Experience with Kubernetes

• Experience with MongoDB

• Experience with AWS Cloud

• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card

• Private life insurance

• Private medical and dental care, with vision allowance

• Private pension scheme

• Volunteer opportunities

• Support for employee-led affinity groups representing women, people of color and the LGBT+ community

• Business travel accident insurance

• Employee assistance program

• Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

The Spark email app stands as one of our flagship products, designed for various platforms, including iOS, macOS, Android, and Windows. Our mission at Spark has always been to make you love your email experience - we started by making email smart, and improved team collaboration, and now we’ve tackled information overload to make email focused. Our core features are designed to heighten your focus and allow you to create customized workflows that suit your needs.

About the role:
As a Senior Back End Engineer, you will architect robust backend services for tasks like database scaling, synchronisation across devices, and integration with other services (e.g., calendars); and optimise the performance of critical components. You will contribute to the team's growth by mentoring newcomers, conducting code reviews, and fostering a culture of knowledge sharing.

What you’ll do:

• Build distributed, scalable, and fault-tolerant systems in the cloud using Golang.
• Develop tools for running and monitoring the system and ensure reliable operations at optimal performance.
• Work closely with the product manager and client development teams to define architecture, protocols, and requirements for new functionalities.
• Collaborate with the team and contribute to the overall success of the project

About you:

• Strong background in backend development, including high proficiency in Golang
• Experience with distributed systems and high-load services
• Knowledge of relational database systems and key-value stores
• Basic knowledge of Kubernetes
• Experience with cloud platforms like AWS or GCP
• You demonstrate a deep passion for the products you contribute to
• You're great at thinking ahead, foreseeing how your work shapes the user experience 
• You know how to deliver product quality in optimal development time
• You have a keen eye for both zooming in on details and seeing the big picture
• You are highly flexible and self-motivated, with the ability to work independently and in a team

Would be a plus:

• Knowledge of data structures and algorithms (DSA)
• DevOps skills 
• Familiarity with NoSQL
• Experience in front-end development using modern Javascript frameworks
• Contributions to the open-source community
• Experience with scripting languages like Python, Ruby, Shell

Your key skills and capabilities: 

• Strong SQL and Python skills  

• Data modelling experience (dimensional, relational, or similar)  

• Experience building and maintaining backend systems  

• Familiarity with Microsoft Azure  

• Understanding of APIs, containers, and backend development best practices 

• Implementing cloud-native data platforms 

• Engineering scalable and reliable pipelines 

• Good knowledge of distributed computing with Spark 

• Understanding of cloud architecture principles and best practices 

• Hands-on experience in designing, deploying, and managing cloud resources 

• Agile ways of working 

• Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform 

• Monitoring and performance tuning of cloud-based applications and services  

Nice to haves:  

• Experience with Snowflake, dbt, CubeJS 

• Experience with Databricks, PySpark, ML workflows  

• Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps).  

• Frontend development experience (React, Next.js, TypeScript)  

• Infrastructure-as-code (Terraform, CloudFormation) 

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance  

• Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining   

• ML Pipelines & CI/CD – Automate end-to-end ML workflows 

Key tasks:  

• Develop, maintain, and optimise backend services for our SaaS platform  

• Work with SQL and Python daily to build robust data pipelines and transformations  

• Model, structure, and query data to support product features and reporting  

• Integrate and maintain data ingestion flows (e.g., Fivetran, custom connectors)  

• Implement backend APIs (FastAPI) to power our web application  

• Work with our cloud environment (Azure - experience with AWS or GCP also valuable)  

• Collaborate with teammates to plan, build, and deploy features in an Agile way 

• Contribute to CI/CD workflows, monitoring, and infrastructure-as-code 

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.  

Your key skills and capabilities:

·      Implementing cloud-native data platforms
·      Engineering scalable and reliable pipelines
·      Good knowledge of distributed computing with Spark
·      Understanding of cloud architecture principles and best practices
·      Hands-on experience in designing, deploying, and managing cloud resources
·      Excellent python and SQL skills
·      Agile ways of working
·      Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform
·      Monitoring and performance tuning of cloud-based applications and services

Nice to haves: (MLOps):  

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. 
•  Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining 
• ML Pipelines & CI/CD – Automate end-to-end ML workflows 

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.