MPower Plus
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer for a hybrid position in Leeds/Bristol, UK, with a contract length of "unknown" and a pay rate of "unknown." Key skills include PostgreSQL, Google BigQuery, and data pipeline development. Industry experience in data engineering is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Greater Bristol Area, United Kingdom
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🧠 - Skills detailed
#Data Analysis #Data Architecture #Data Engineering #Indexing #Scala #Data Processing #PostgreSQL #SQL (Structured Query Language) #SQL Queries #"ETL (Extract #Transform #Load)" #BigQuery #Storage #Cloud #Data Ingestion #Data Pipeline
Role description
Hybrid in Leeds/Bristol, UK
Lead and manage offshore teams covering Data Engineering, Data Analysis, and Data Modelling activities.
· Provide technical direction, review deliverables, and ensure adherence to data architecture and engineering best practices.
· Plan and allocate work across the offshore team, ensuring timely delivery and quality outcomes.
· Design, develop, and oversee scalable data pipelines using PostgreSQL, Google BigQuery, and Google Cloud Spanner.
· Ensure data ingestion, transformation, and storage solutions meet performance, reliability, and scalability requirements.
· Guide optimization of SQL queries, partitioning strategies, indexing, and cost-efficient data processing.
Hybrid in Leeds/Bristol, UK
Lead and manage offshore teams covering Data Engineering, Data Analysis, and Data Modelling activities.
· Provide technical direction, review deliverables, and ensure adherence to data architecture and engineering best practices.
· Plan and allocate work across the offshore team, ensuring timely delivery and quality outcomes.
· Design, develop, and oversee scalable data pipelines using PostgreSQL, Google BigQuery, and Google Cloud Spanner.
· Ensure data ingestion, transformation, and storage solutions meet performance, reliability, and scalability requirements.
· Guide optimization of SQL queries, partitioning strategies, indexing, and cost-efficient data processing.
