Data Engineer (Life Sciences & Healthcare)

Expected, Python, SQL, Google Cloud Platform, BigQuery Optional, AWS, Microsoft Azure, JavaScript, Snowflake About the project, Our client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026., , Project Description, , As a Data Engineer, you will play a key role in building and optimizing data pipelines that power the forecasting and analytics platforms. You’ll work across a global engineering organization, collaborating with product managers, front-end and back-end developers, and fellow data engineers., , Technologies:, • Python, • SQL, • Google Cloud and AWS, • Data warehouse, • JavaScript (legacy code support), • Snowflake Your responsibilities, Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting;, Work across the application stack, focusing primarily on backend data engineering;, Ensure code quality through reviews, testing, and adherence to best practices;, Collaborate with global engineering pods to maintain consistent coding standards;, Mentor and guide engineers and contractors, fostering technical growth;, Partner with product managers and peers to translate business requirements into scalable solutions. 5+ years of experience in data engineering, including at least 2–3 years in a senior-level role;, Proficiency in Python and SQL;, Hands-on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable;, Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies;, Ability to communicate complex technical concepts clearly to peers and stakeholders;, Bachelor’s degree in Computer Science or related field. Optional, Experience with JavaScript to support legacy code;, Familiarity with Snowflake or other modern data platforms;, Exposure to AI/ML concepts and interest in applying them to data engineering;, Healthcare industry experience is a plus. This is how we work, agile Team members, frontend developer, devOps, product owner This is how we work on a project, code review, Continuous Deployment, Continuous Integration, functional tests, integration tests, performance tests, regression tests, test automation, testing environments Development opportunities we offer, external training, intracompany training, mentoring, soft skills training, space for experimenting, substantive support from technological leaders, technical knowledge exchange within the company, time for development of your ideas What we offer, Technical and non-technical training for professional and personal growth;, Internal conferences and meetups to learn from industry experts;, Support and mentorship from an experienced employee to help you professional grow and development;, Health insurance;, English courses;, Sports activities to promote a healthy lifestyle;, Flexible work options, including remote and hybrid opportunities;, Referral program for bringing in new talent;, Work anniversary program and additional vacation days. Benefits, remote work opportunities COHERENT SOLUTIONS sp. z o.o., Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 2000 talented professionals collaborates seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company’s core competencies across 10 locations worldwide include software product development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more., , We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion, and be sure every contribution is evaluated, we are on the same page. This is how we work,