Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 12-month contract, offering a pay rate of "unknown." Key skills include 2+ years in data engineering, strong SQL, Python proficiency, and experience with APIs. Hybrid work location; familiarity with cloud platforms is a plus.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
318.1818181818
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Fixed Term
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Datasets #Data Engineering #Databases #Airflow #Data Pipeline #"ETL (Extract #Transform #Load)" #Azure #Python #Data Manipulation #ML (Machine Learning) #AWS (Amazon Web Services) #Data Science #Cloud #BI (Business Intelligence) #Data Lifecycle #GCP (Google Cloud Platform) #Database Management
Role description
We’re looking for a detail-oriented and motivated Data Engineer to join on a 12-month fixed-term contract. You’ll help design and maintain the data systems that power investment insights β€” ensuring teams can access accurate, reliable, and well-structured data when they need it most. This role sits within a team building a platform that transforms unstructured private market data into actionable intelligence. As a Data Engineer, you’ll play a key role in building pipelines, integrating data sources, and supporting the infrastructure that enables advanced analytics and machine learning. You’ll work closely with engineers, analysts, and data scientists to ensure data is clean, consistent, and ready for use at scale. From database management to pipeline optimisation, you’ll be hands-on across the data lifecycle, helping turn complex datasets into meaningful insight. What’s in it for you? πŸ“Š Data That Drives Decisions – Work on systems that power real investment strategies and insights. βš™ Hands-On Engineering – Build and optimise data pipelines, integrations, and infrastructure at scale. πŸ“ˆ Professional Growth – Expand your skills in modern data engineering tools and cloud technologies. 🀝 Collaborative Culture – Work alongside engineers, analysts, and domain experts in a supportive environment. 🏒 Hybrid Flexibility – Balance focused remote work with in-person collaboration at our office. What We’re Looking For: β€’ 2+ years of experience in data engineering or a similar role β€’ Strong SQL skills and familiarity with relational databases β€’ Proficiency in Python for data manipulation and pipeline development β€’ Experience working with APIs and integrating multiple data sources β€’ A systematic, detail-oriented approach to building reliable data systems Nice to Have: β€’ Experience with cloud platforms (AWS, GCP, or Azure) β€’ Familiarity with workflow orchestration tools (e.g. Airflow, Prefect) β€’ Knowledge of data warehousing solutions and BI tools β€’ Exposure to financial datasets or document-heavy workflows If you’re excited to work on meaningful data problems and help shape the way complex markets are understood β€” we’d love to hear from you. Apply now and start your journey building the future of data-driven insight.