£56 Per hour
Inside
Remote
Leeds, England, United Kingdom
Summary: The Senior Data Engineer role involves developing scalable data pipelines and ensuring data quality within a FinTech team at a leading high-tech company. The position requires expertise in SQL, Python, and Apache Airflow, focusing on data engineering and analytics to support business decision-making. This is a full remote position available to candidates anywhere in the UK. The contract is for 6 months with potential extensions into 2027.
Key Responsibilities:
- Develop scalable data pipelines and ensure data quality.
- Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing.
- Design and develop scalable ETL pipelines to automate data processes and optimize delivery.
- Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation.
- Lead, plan and execute workflow migration and data orchestration using Apache Airflow.
Key Skills:
- 5+ years of experience in SQL.
- 5+ years of development in Python.
- Strong experience in Apache Airflow.
- Experience with ETL tools, data architecture, and data warehousing solutions.
- Strong communication skills.
Salary (Rate): £450.00 daily
City: Leeds
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Senior Data Engineer / Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow
Our client is a global leading and fast growing high tech company:
- Over 6,500 employees across 20+ offices;
- 300 Million+ active users on some of the platforms they developed;
- Cutting edge AR and VR technologies, 3D printing, etc.
They are looking for a senior Data Engineer to join their FinTech team! You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets.
- Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing
- Design and develop scalable ETL pipelines to automate data processes and optimize delivery
- Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation
- Lead, plan and execute workflow migration and data orchestration using Apache Airflow
- Focus on data engineering and data analytics
Requirements:
- 5+ years of experience in SQL
- 5+ years of development in Python
- MUST have strong experience in Apache Airflow
- Experience with ETL tools, data architecture, and data warehousing solutions
- Strong communication skills
This contract is £450 per day inside IR35 6 month contract with likely extensions into 2027