SC Cleared Data Engineer

Sparta Global Limited
Milton Keynes, UK
3 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Amazon S3 Cloud Computing Continuous Integration Data Integration Extract Transform Load (ETL) Data Systems Python (Programming Language) Open Source Technology Standard Sql Unstructured Data
+5 more
Apache Spark Apache Kafka Api Design Software Version Control Data Pipelines

Job description

Sparta Global are hiring a team of 3 SC Cleared mid-level Data Engineers, to join on 12-Month Fixed-Term-Contracts, and work fully remotely within the UK.

Requirements

Overview:This role will suit someone with solid hands-on engineering experience who is comfortable working across cloud-based environments, modern data tooling, and open-source technologies.You’ll work closely with analysts, software engineers, and stakeholders to help deliver reliable, high-quality data solutions that support operational and analytical use cases. Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT data pipelinesDevelop and optimise data workflows within AWS cloud environmentsWork with structured and unstructured datasets from multiple source systemsBuild and maintain data models to support reporting, analytics, and downstream applicationsEnsure data quality, integrity, and governance standards are maintainedSupport the migration and integration of data between platforms and servicesMonitor and troubleshoot pipeline and platform performance issuesCollaborate with cross-functional engineering and product teams in Agile delivery environmentsContribute to continuous improvement of engineering standards, tooling, and automation practices Skills & Experience Required:Commercial experience as a Data Engineer or similar engineering-focused data roleStrong SQL skills and experience working with relational databasesExperience developing data pipelines using Python or similar programming languagesHands-on experience working within AWS environments, ideally with services such as S3, Lambda, Glue, Redshift, RDS, Athena, IAMExperience working with open-source data technologies and frameworks such as Apache Airflow, Spark, Kafka, dbt, HadoopExperience working with APIs and data integration patternsUnderstanding of CI/CD, version control, and engineering best practicesExperience working within Agile/Scrum delivery teams

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