3 of 3 Remote/Hybrid ETL Development Jobs in the Midlands

engineering role covering the design, build, testing, and support of data solutions across complex systems. Responsibilities Design, build, and maintain data integration and ETL solutions Develop and support data pipelines, transformations, and data flows Produce and maintain technical design documentation and engineering artefacts Work with structured databases, SQL, and … warranty periods Provide guidance and mentorship to junior engineers where required Skills & Experience Active SC clearance is essential Strong experience in data engineering/ETL development Experience with any ETL tool (e.g. Talend, Informatica, Pentaho, SSIS, etc.) Strong SQL skills and experience with relational databases (e.g. Oracle ...

practical implementation and real-world delivery, not just theoretical knowledge. You will play a key role in shaping and delivering high-quality data models, ETL/ELT pipelines, and integration patterns, working closely with architects and analysts to enable reliable and performant analytics across the organisation. Key Responsibilities Lead … data lifecycle: extraction, transformation, validation, and loading Develop and manage data warehouse objects, including tables, views, and security roles in Snowflake. Extract data from diverse sources, including databases, flat files, and APIs. Transform and cleanse data to ensure quality and integrity. Load data into the data warehouse while ensuring consistency ...

Spark. Experienced in working with the Hadoop ecosystem, including HDFS, Hive, and YARN, to process and analyze large datasets efficiently. Skilled in building robust ETL pipelines, real-time data processing, and optimizing distributed systems for performance and reliability. Proficient in SQL, data modeling, and integrating data from multiple sources … time. Your Role: Design and develop Hadoop based applications and data pipelines. Build operate monitor and troubleshoot Hadoop clusters. Write scalable ETL processes using tools like Hive Pig and Spark. Develop and maintain data ingestion processes using Sqoop Flume or Kafka. Optimize MapReduce jobs and manage HDFS storage. Collaborate ...