Engineering Data Analyst

Qube Research & Technologies

Programme duration: from 5 to 6 months, starting in 2026.    Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.   Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.   Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.    We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.     Your future role at QRT   Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design.  Examples of potential roles and projects include:  * Quantitative Data Analyst  Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale.  * Data Engineer  Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform.  * Data Platform Engineer  Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently.    Your present skillset   * Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP).  * Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python. * Interest to build expertise in high-performance, real-time trading systems  * Excellent communication and analytical skills - you will interact directly with Traders and Researchers   * Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting.  * Rigorous and structured approach to problem-solving.  Preferred qualifications (a plus):  * Knowledge of databases such as SQL or NoSQL.  * Experience in front-end development.  * Interest in financial markets and/or algorithmic trading.     Interview Process:  * Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances.  * Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.  * Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.       QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Alma

🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!   👐 ABOUT THE TEAM You will join the Data Engineering team, which is moving closer to the Platform organization to strengthen collaboration with SRE and Software Engineering and improve SLA standards on the data platform.  You will report to Jonathan, Engineering Manager of the SRE team, and work within a broader data community of 3 Central Data Analysts, 2 Product Data Analysts, 6 Business Analysts, and a 5-person AI team. This position is a permanent contract (CDI) based in Paris.   💼 ABOUT THE JOB Own and scale the data platform * Build, maintain, and improve our data warehouse, transformation layer, and platform architecture (including the critical link between PostgreSQL and our GCP data lake) to make our stack faster, more reliable, and more resilient. Raise engineering standards across the data stack * Drive CI/CD practices, staging environments, automated testing, infrastructure-as-code (Terraform), access management, and release management — bringing a platform engineering mindset to data. Ensure observability and platform reliability * Lead incident management, data quality monitoring, lineage, and documentation efforts to ensure the platform remains trustworthy and easy to operate for analysts, product teams, and AI practitioners. Shape technical decisions and enable the team * Take ownership of complex architectural decisions (including tooling audits, e.g. Datastream), * Contribute to AI data use cases (BigQuery integrations with tools like Dust, Claude Code, and Nao), * Mentor other data practitioners on engineering best practices, * Share knowledge, document decisions, and contribute to raising engineering standards across the team.   🧰 YOU WILL WORK WITH GCP, BigQuery, PostgreSQL, Cloud SQL, Terraform, Kubernetes, Argo Workflow, Airflow, AirByte, dbt, Python, GitHub, CI/CD, Looker, Metabase   🧩 ABOUT YOU To succeed in this job * 6+ years of experience as a Data Engineer, ideally in a fast-growing tech environment, with hands-on experience building and maintaining modern data platforms and orchestration workflows * Strong command of cloud infrastructure, infrastructure-as-code (Terraform), Kubernetes, and Python — you're comfortable owning both the data and the platform layer * Analytical mindset with a strong capacity to challenge the status quo — you don't just build, you question whether we're building the right thing * Fluency in French and English   And it will be nice if you also * Have specific experience with GCP and BigQuery at scale * Have worked with dbt for data transformation * Have experience operating in or alongside an SRE or Platform Engineering culture   Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.   🧘 WHAT'S IN IT FOR YOU If you join, you will be able to grow and impact on: * A pivotal moment for data at Alma — you'll join as the team transitions toward Platform, with a mandate to audit and reshape the stack, not just maintain it. * End-to-end ownership — from architectural decisions on the PostgreSQL-to-GCP pipeline to enabling AI use cases with BigQuery, this is a high-autonomy, high-visibility role. * Cross-functional leverage — your work will directly improve the productivity of a 20+ person data community and fuel better decisions across the entire company.   🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer   🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Take-home assignment followed by a case study presentation with team members to assess your practical knowledge. * Coffee chat with future cross-functional collaborators to assess team fit.   🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.

Alma

🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.   Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.   As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers.   With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!   👐 ABOUT THE TEAM You will join the Product Analytics team, currently composed of Louis and Camille, embedded within the wider Data Analytics organization (Eng > Data & AI > Data Analytics). The team's mission is to enable the Product organization through data — from discovery to impact measurement.   You will report to Louis, Product Analytics Manager, and collaborate closely with a product organization of 11 Product Managers, Product Design, and Product Marketing teams. You will own the Core Tribe, which sits at the heart of Alma's product — covering financial flows, risk & scoring, and payment lifecycle. The PMs in this tribe are notably data-savvy, making it a particularly exciting scope to work on.   This position is a CDI based in Paris.   💼 ABOUT THE JOB Be the data partner for the Core Tribe * Work hand in hand with 3 product squads (Core Finance, Risks, Payment Lifecycle) to assess the impact of key initiatives, support discoveries, and provide data-driven recommendations that directly influence product prioritization. Own and scale the analytics foundations of your scope * Audit existing models and pipelines, revamp key data models, and build the dashboards needed to track your tribe's most important metrics — ensuring data is reliable, accessible, and actionable. Design and run experiments * Implement A/B tests and experimentation frameworks to evaluate product features with statistical rigor, helping squads make confident, evidence-based decisions. Raise the bar across the Product Analytics team * Contribute to internal tooling, challenge existing approaches, and help define best practices that improve the whole team's standards and impact — not just your own perimeter.   🧰 YOU WILL WORK WITH SQL, BigQuery, dbt, Argo Workflow, Looker, Google Colab, Claude Code, Segment, Rudderstack, Python   🧩 ABOUT YOU To succeed in this job * 2 to 5 years of experience in Product Analytics, preferably in a fast-growing tech or fintech environment * Strong proficiency in SQL and solid grasp of statistical analysis and experimentation methodologies (A/B testing, significance, causality) * Excellent communication skills — able to translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders * Genuine curiosity and eagerness to work with AI-assisted tools (Claude Code) as part of your daily workflow * Proficiency in French & English And it will be nice if you also * Are comfortable with Python for data manipulation and analysis * Have hands-on experience with dbt, BigQuery, or GCP * Have worked with tracking tools such as Segment or Rudderstack * Hold a degree in a quantitative field (Computer Science, Statistics, Engineering, or similar) Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.   🧘 ABOUT THE ROLE If you join, you will be able to grow and impact on: * A team with serious momentum — the Product Analytics team went from 1 analyst at end of 2024 to 3 today. You'll be joining at a pivotal moment, with a lot still to build in terms of tools, processes, and best practices. * Full ownership of a high-stakes tribe — the Core Tribe covers the financial, risk, and payment foundations of Alma. You'll have a clear perimeter and real latitude to shape how data is used within it, alongside data-savvy PMs who speak your language. * Broad impact beyond your scope — from month 9, you'll be expected to contribute to raising standards across the whole Product Analytics team. This is a role where growth is structural, not just a promise.   🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer   🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge. * 1 or 2 additional interviews customized to the role's level to further assess your skills and team fit.   🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.