Middle/Senior Data Engineer (FINTECH DOMAIN)

<h3>Company Description</h3><p>We are glad to welcome a Data Engineering expert with an entrepreneurial, performance-driven mindset and strong experience in implementing and delivering Data Analytics solutions to join us as a Data Engineer.  </p><p>Our client has rapidly become one of Europe’s most fastest-growing fintech companies. They manage all aspects of financial operations, from generating virtual cards to facilitating wire transfers and maintaining customer account balances. As a payment institution, our client provides a platform integrating financial services into its product, including features like account management, card payments, bank transfers, and additional services.</p><p><strong>CUSTOMER</strong></p><p>Our customer is a leading FinTech company founded in 2016, offering a comprehensive spending solution designed for finance teams to facilitate faster and smarter spending decisions. Rapidly growing, they now serve over 4,000 customers and boast an international team of 500+ employees based in Paris, Berlin, London, Hamburg, and remote locations. They have raised over €260M from prominent investors and have been recognized as a tech unicorn in France, with ambitious plans for continued expansion.</p><p> </p><h3>Job Description</h3><p> </p><ul><li>Contributing to new technologies investigations and complex solutions design, supporting a culture of innovation considering matters of security, scalability, and reliability with the focus on building out our ETL processes </li><li>Working with modern data stack, coming up with well-designed technical solutions and robust code, implementing data governance processes </li><li>Working and professionally communicating with the customer’s team </li><li>Taking up responsibility for delivering major solution features </li><li>Participating in requirements gathering &amp; clarification process, proposing optimal architecture strategies, leading the data architecture implementation </li><li>Developing core modules and functions, designing scalable and cost-effective solutions </li><li>Performing code reviews, writing unit, and integration tests </li><li>Scaling the distributed system and infrastructure to the next level </li><li>Building data platform using the power of AWS cloud provider </li></ul><p> </p><h3>Qualifications</h3><p> </p><ul><li>3+ years of strong experience with Python as a programming language for data pipelines and related tools </li><li>Familiarity and understanding of distributed data processing with Spark, for data pipeline optimization and monitoring workloads </li><li>Experience with Snowflake </li><li>Proven strong track record of building data transformations in data build tools </li><li>Excellent data modeling and data warehousing best practices implementation </li><li>Experience with Looker with a developer proficiency </li><li>Strong Data Domain background - knowledge of how data engineers, data scientists, analytics engineers, and analysts work to be able to work closely with them and understand their needs </li><li>Good written and spoken English communication skills </li><li>Software engineering best practices: Testing, PRs, Git, code reviews, code design, releasing </li></ul><p><strong>WOULD BE A PLUS</strong></p><ul><li>Data certifications Data Engineend or Data Analytics </li><li>Experience with Databricks and Airflow </li><li>Experience with DAGs and orchestration tools </li><li>Experience with developing Snowflake-driven data warehouses </li><li>Experience with developing event-driven data pipelines </li></ul>