Senior Data Engineer: Lakehouse & ETL Architect

Senior Data Engineer: Lakehouse & ETL Architect

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Kindred People AB

At a Glance

  • Tasks: Build and optimise scalable ETL/ELT pipelines and Lakehouse architectures using Python and Spark.
  • Company: Join Kindred People AB, a forward-thinking company in the data engineering space.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on cutting-edge data technologies.
  • Why this job: Make a real impact by designing innovative data solutions on a modern multi-cloud platform.
  • Qualifications: Experience with ETL processes, Python, Spark, and managing Airflow DAGs is essential.

The predicted salary is between 60000 - 80000 £ per year.

Kindred People AB is seeking a Senior Data Engineer to hands-on build and optimise scalable ETL/ELT pipelines and Lakehouse architectures across a modern multi-cloud platform using Python, Spark, Airflow and dbt. You will design and implement pipelines, manage Airflow DAGs, and contribute to CI/CD for data delivery while enforcing data contracts and observability practices across critical systems.

Senior Data Engineer: Lakehouse & ETL Architect employer: Kindred People AB

At Kindred People AB, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Senior Data Engineer, you will have access to cutting-edge technology and the opportunity for professional growth within a collaborative environment, all while working in a vibrant multi-cloud setting that encourages creativity and efficiency. Join us to be part of a team that values your contributions and supports your career development in the exciting field of data engineering.

Kindred People AB

Contact Details:

Kindred People AB Recruitment Team

We think you need these skills to ace Senior Data Engineer: Lakehouse & ETL Architect

SQL
Data Pipeline Development
Python
Problem-Solving Skills
Data Engineering
API Integration
Communication Skills