At a Glance
- Tasks: Design and maintain data pipelines, ensuring reliability of a central data platform.
- Company: Join a rapidly growing technology and data consultancy focused on advanced analytics solutions.
- Benefits: Enjoy a high-autonomy culture and opportunities to expand your technical skillset.
- Other info: Position offers a salary of up to £110,000.
- Why this job: Work on impactful data challenges aligned with global markets and economic trends.
- Qualifications: Strong experience in SQL, Python, Databricks, and tools like Git and Airflow required.
The predicted salary is between 110000 - 110000 £ per year.
We're partnering with a rapidly growing, high-performance technology and data consultancy. This organisation specialises in building cutting-edge data platforms and delivering advanced analytics solutions to solve complex, real-world business problems. With a strong emphasis on collaboration, innovation and ownership, they offer a fast-paced environment where talented engineers can make a meaningful impact from day one.
We're seeking an experienced Data Engineer to join a high-performing Data Analytics team. You'll play a key role in designing and maintaining data pipelines and ensuring the reliability and integrity of a central data platform that supports critical business and investment processes.
Key Responsibilities- Design, build, and optimise data pipelines to ingest and process data from a variety of internal and external sources
- Develop and enhance scalable data platforms, ensuring they meet evolving business and technical requirements
- Monitor, maintain and improve data systems to ensure high levels of performance, reliability and data quality
- Implement robust testing and validation processes to support accurate and consistent data delivery
- Work closely with cross-functional teams to understand data needs and deliver solutions that support business objectives
- Strong experience designing and building scalable data pipelines
- Proficiency in SQL, Python, Databricks or AWS
- Experience with tools such as Git and Airflow
- Proven ability to test, troubleshoot and improve data platforms
- Experience delivering high-quality, reliable data solutions
- Strong communication skills and ability to work in collaborative environments
- Work on impactful, real-world data challenges
- Collaborate with highly skilled technical professionals
- Exposure to projects aligned with global markets and economic trends
- Strong learning environment with opportunities to expand your technical skillset
- High-autonomy culture
Data Engineer employer: Jefferson Frank
This high-performance consultancy is dedicated to solving complex business problems through innovative data platforms. Located in a fast-paced environment, the team values collaboration and ownership, providing a strong learning atmosphere. Employees benefit from exposure to projects that influence global markets.
