Senior Data Engineer

About the role

Lineate is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines and cloud‑based data lake architectures. You will work with cutting‑edge technologies to enable AI‑driven solutions for FinTech, HealthTech, and AdTech clients.

Key responsibilities

• Design, build, and maintain scalable data pipelines using Spark, Airflow, and AWS Glue.
• Develop and optimise ETL/ELT processes for large‑scale datasets.
• Architect and evolve cloud‑based data lake and lakehouse solutions.
• Ensure data quality, pipeline reliability, performance, and cost efficiency.
• Define technical standards and make key architectural decisions.
• Troubleshoot production issues and performance bottlenecks.
• Conduct code and architecture reviews while mentoring other engineers.
• Collaborate with engineering, analytics, and business teams.

Required profile

• 7+ years of experience in data engineering.
• Strong production experience with Spark, Airflow, and AWS Glue.
• Proven track record designing scalable ETL/ELT pipelines and distributed processing solutions.
• Experience with data lake or lakehouse architectures.
• Strong SQL and Python programming skills.
• Understanding of data modelling, partitioning, schema evolution, and data quality.
• Ability to own solutions from architecture through production support.
• Experience providing technical guidance to other engineers.

Required skills

• Spark
• Airflow
• AWS Glue
• SQL
• Python
• AWS

What we offer

• Freedom to develop with a clear career path and performance management.
• Social benefits package, equipment, English lessons, and gym membership.
• Flexible vacation time and inclusive in‑person and digital events.
• Equal opportunity employer committed to diversity and inclusion.