Data engineer (Python)

Senior Python developer

Quantlane

Our stack: Python 3.12 (asyncio, FastAPI, Django), Docker, PostgreSQL, GitLab, Apache Avro, Kubernetes, AWS, RabbitMQ, C/C++/Rust We're Quantlane, a proprietary trading firm built for traders. Our goal is to create a best-in-class ecosystem that helps traders unlock their full potential. At the heart of it is our own trading platform — software that enables both manual and algorithmic trading.     👨‍💻 How we work Our development team has 16 people. We work in an agile environment, develop iteratively, and take testing seriously. We currently have three specialized product sub-teams — Execution, Data, and Infrastructure — each focused on developing and running their core domain. 📊 Who we're looking for This role is for our Execution Platform team, where we have three experienced Python developers. We tackle challenging backend problems here — performance and platform optimization, scalability, and system robustness. 🔥 Want to help build a platform that has a real impact on our traders' success? Come join us! 🚀

Data Engineer (Python/ AWS)

Instil

The Role We’re looking for a Data Engineer to join a team building and evolving a modern cloud-based data platform. This is a hands-on role focused on designing, building, and improving data pipelines and services, while also contributing to API design and occasional frontend work where needed. You’ll work across the stack, primarily in Python and AWS, helping to deliver reliable, well-structured data and making it easier for teams to ingest, access, and use it. The focus is on practical delivery: building ingestion and transformation pipelines, exposing data through APIs, and supporting a platform that removes bottlenecks and enables better use of data across the organisation. What You’ll Be Doing * Design, build, and maintain ETL / ELT pipelines in production environments * Develop ingestion and egress patterns to support reliable data access and integration * Work with structured and semi-structured data (e.g. JSON, Parquet) * Build and maintain data models across a cloud data platform * Design and implement APIs to expose data for downstream consumers * Contribute to cloud-based data platform development in AWS * Support lightweight frontend work (React / TypeScript) for data-focused tools where needed * Implement observability practices (logging, monitoring, tracing) across data pipelines and APIs * Improve reliability, performance, and failure handling across the platform * Collaborate with engineers and analysts to deliver data that supports reporting and operational use cases What We’re Looking For * Experience building and supporting data platforms or pipelines in production * Strong Python skills for data processing, transformation, and pipeline development * Strong SQL skills, including complex queries and performance optimisation * Experience with ETL / ELT design and implementation * Experience working with AWS data services * Experience working with a cloud data warehouse (e.g. Snowflake, Redshift, or similar) * Experience designing and implementing APIs * Strong problem-solving skills and ability to work with evolving requirements * Good communication skills and experience working in cross-functional teams Nice to Have * Experience with TypeScript or JavaScript * Experience contributing to frontend applications (React) * Familiarity with observability tooling (logging, monitoring, tracing) * Experience with data modelling and metadata management * Exposure to CI/CD practices for data pipelines and services * Experience working in delivery-focused, agile environments Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That’s why we’ve built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. * Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. * Flexibility Built In: Flexible working arrangements and summer hours, because life isn’t 9 to 5, and balance matters. * Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. * Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant. * Time to Recharge: 35 days holiday, enhanced maternity pay, and family-first policies so you can focus on what matters most. * Learning Never Stops: From courses to certifications, we’ll invest in your development so you can keep growing and shaping what’s next. * Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. And that’s just the start, drop us a note to find out more. Company Description Instil has been delivering world-class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting-edge applications, we help our clients navigate an ever-changing digital landscape with confidence and agility. We’re proud to be an award-winning employer, reflecting how our people are at the heart of everything we do: * Recognised as a Great Place to Work® for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium-sized companies. * Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland’s tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We’ll support your journey, because your success is part of ours. #LI-PR1 #InstilCareers

Senior Data Engineer Python/GCP (x/f/m)

Doctolib

YOUR IMPACT We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion. Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems, ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL DO Your responsibilities include but are not limited to: * Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases * Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models * Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently * Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability * Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption * Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI) * Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets * Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: * You have 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads * You have strong experience with the GCP data ecosystem and proficiency in Python and SQL * You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search) * You have experience designing data architectures for RAG, embeddings, or model training pipelines * You have knowledge of data governance, security, and compliance for sensitive or regulated data * You are fluent in English It would be fantastic if you: * You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field * You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning * You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical Deep Dive * System Design Interview * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML * Full-time * Paris, France * Hybrid work setup (up to 2 remote days per week) * Start date: as soon as possible WE WELCOME EVERYONE At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.