Inara

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with strong Python and Databricks skills, offering £500 - £550 for a 3-month remote contract. Key requirements include experience in production data environments, data modeling, and cloud platforms (AWS, Azure, GCP).
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
550
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🗓️ - Date
January 27, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Edinburgh, Scotland, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #GCP (Google Cloud Platform) #Databricks #Data Processing #Cloud #Azure #Monitoring #Data Engineering #Data Governance #Scala #Observability #Spark (Apache Spark) #Data Science #Data Architecture #Data Quality #AWS (Amazon Web Services) #Python #"ETL (Extract #Transform #Load)" #dbt (data build tool)
Role description
Senior Data Engineer | Python | Databricks | Production Data Platforms Rate: £500 - £550 (Inside IR35) Contract Length: 3 months Workplace: Remote with very occasional visit to client site We’re working with a forward-thinking organisation that’s building modern, production-grade data platforms and is looking for a Senior Data Engineer to play a key role in shaping how data is engineered, deployed, and consumed across the business. This is a hands-on role for someone who enjoys solving complex data problems and taking data models from concept to production. What you’ll be doing Designing, building, and maintaining scalable data pipelines using Python • Working extensively with Databricks to develop and optimise data processing workflows • Productionising data models, ensuring they are robust, reliable, and performant • Collaborating with analytics, data science, and platform teams to deliver high-quality data products • Improving data quality, monitoring, and observability across the platform • Influencing technical direction and best practices within the data engineering function What we’re looking for Strong experience as a Senior Data Engineer in production environments Advanced Python skills for data engineering Hands-on experience with Databricks (Spark, notebooks, jobs, workflows) • Proven experience building and productionising data models • Solid understanding of data warehousing, ETL/ELT, and modern data architectures • Experience working in cloud environments (AWS, Azure, or GCP) Nice to have • Experience with dbt or similar transformation tools • Exposure to CI/CD for data pipelines • Knowledge of data governance, lineage, or observability tooling • Experience working in consultancy or multi-client environments