newcastle-upon-tyne, tyne and wear, north east england, United Kingdom Hybrid / WFH Options
Noir
in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience More ❯
newcastle-upon-tyne, tyne and wear, north east england, United Kingdom
Saragossa
that meet the evolving needs of the business. Utilise your strong background in data engineering, combined with your existing experience using SQL, Python and Apache Spark in production environments. The role will entail strong problem-solving skills, attention to detail, and the ability to work independently while collaborating closely More ❯
Newcastle upon Tyne, Tyne & Wear Hybrid / WFH Options
Client Server
scientific discipline, backed by minimum A A B grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience More ❯
newcastle-upon-tyne, tyne and wear, north east england, united kingdom
Chi Square Analytics
Proven experience in a Data Engineer or Data Analyst role with a focus on technical delivery Strong hands-on expertise in SQL, Python, and Apache Spark in a production environment Experience with Databricks and Microsoft Azure is highly advantageous Exceptional problem-solving skills and a keen attention to detail More ❯
newcastle-upon-tyne, tyne and wear, north east england, United Kingdom
Chi Square Analytics
Proven experience in a Data Engineer or Data Analyst role with a focus on technical delivery Strong hands-on expertise in SQL, Python, and Apache Spark in a production environment Experience with Databricks and Microsoft Azure is highly advantageous Exceptional problem-solving skills and a keen attention to detail More ❯
Synapse, Spark, and Kafka. Familiarity with database management systems including SQL Server and PostgreSQL. Knowledge of data integration and ETL tools (e.g., Talend, Informatica, Apache NiFi2). Strong problem-solving and analytical skills with the ability to manage and interpret large datasets. Previous experience working within data operations teams. More ❯
