Mirai Tech

Contract Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Contract Senior Data Engineer in London (hybrid, 1 day/week) for 3–6 months, paying £600–£800 per day. Key skills include Azure Databricks, Azure Data Factory, advanced SQL, and experience with high-volume data.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
800
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🗓️ - Date
August 20, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Delta Lake #Spark (Apache Spark) #Azure DevOps #Indexing #Databricks #ADF (Azure Data Factory) #Data Ingestion #PySpark #API (Application Programming Interface) #Data Governance #Azure #DevOps #Data Science #Azure Data Factory #Data Quality #Data Engineering #Leadership #Azure Databricks #SQL (Structured Query Language) #IoT (Internet of Things)
Role description
Senior Data Engineer - Contract • London | Hybrid, 1 day per week • 3–6 months | Inside IR35 • £600–£800 per day • ASAP start We’re partnering with a large, complex global organisation looking for an experienced Senior Data Engineer to provide immediate technical leadership across its data engineering function. This is a senior, hands-on contract for someone who can quickly understand an established data estate, identify opportunities for improvement and set a high standard across engineering quality, performance and delivery. Responsibilities will include: • Designing and improving engineering patterns across Azure Databricks and Azure Data Factory • Driving performance and optimisation across caching, indexing, partitioning and cost • Reviewing code and acting as a technical quality gate • Improving DevOps practices across CI/CD, environment promotion, branching and release management • Identifying opportunities to automate repetitive engineering processes • Working with advanced SQL across existing engineering patterns • Supporting data quality, governance and orchestration • Working closely with data engineering, analytics, data science and platform teams • Helping establish consistent engineering standards across the wider service Technical experience We’re looking for strong hands-on experience across: • Azure Databricks • Azure Data Factory • Spark / PySpark • Advanced SQL and performance optimisation • CI/CD and Azure DevOps • Delta Lake and medallion architecture • Unity Catalog • Data governance and orchestration • API-based data ingestion • Experience working with high-volume operational, IoT or telemetry data would be particularly valuable. This role would suit an experienced Senior or Lead Data Engineer who can hit the ground running, work autonomously and confidently challenge existing engineering approaches where needed. At Mirai, we believe diverse teams build better technology. We’re committed to creating an inclusive recruitment process and encourage applications from people of all backgrounds, experiences and identities. If this role sounds interesting but you don’t meet every requirement, we’d still encourage you to apply.