Senior Data Engineer
Summary
Senior Data Engineer at a rapidly growing technology company in Manchester, building large-scale data infrastructure — pipelines, warehouses/lakes, and ETL/ELT for high-volume data — to support analytics and machine learning teams. Core stack: Python or Scala, Spark/Airflow/Kafka, SQL, and cloud (AWS/GCP/Azure). Hybrid working.
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Salary
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? £95,000 – £135,000 base + bonus + benefits <\/b> Design and maintain scalable data pipelines Build and optimize data warehouses and lake architectures Implement ETL/ELT pipelines for high -volume datasets Collaborate with analytics and ML teams Improve data platform performance and reliability 5+ years of experience in Data Engineering Strong Python or Scala Experience with Spark, Airflow, or Kafka Strong SQL and data modelling experience Cloud experience (AWS, GCP, or Azure) Competitive salary and bonus Hybrid working environment Opportunity to work on modern data platform architecture <\/p> Recruiter Introduction – 30 minutes <\/b> Initial call via J&T Recruitment discussing experience with data platforms and cloud infrastructure. <\/p><\/li>
<\/p> Responsibilities
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<\/p><\/li><\/ul> Requirements
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<\/p><\/li><\/ul> Benefits
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<\/p><\/li><\/ul> Interview Process (3 Stages)
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Technical Data Engineering Interview – 75 minutes <\/b>
<\/div>SQL, data modeling, and pipeline architecture discussion.
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Final Engineering Interview – 60 minutes <\/b>
<\/div>Data platform design discussion with senior engineers and team fit evaluation.
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