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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (ML) - **Company:** CreateFuture - **Location:** Manchester, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Cloud Computing, Continuous Integration, Data Governance, Data Migration, Data Security, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, Operational Databases, Feature Engineering, Sql Optimization, Apache Spark, Git, Cloudformation, Data Lakes, Pyspark, AWS Data Analytics, Machine Learning Operations, Terraform, Data Pipelines, Databricks - **Published:** July 31, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=1a47295341638495 ## About the Role * Python / PySpark - Expert. Production data pipeline development, not analysis-only * AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics; * AWS ML stack SageMaker (Pipelines, Feature Store, Endpoints) * SQL - Advanced strongly preferred. * ML pipeline experience. Pipelines feeding model training/inference - feature engineering, versioned datasets, reproducibility * Git + CI/CD for data/ML workloads * Terraform/CloudFormation/CDK - working knowledge Nice-to-have * Databricks AWS (or cross-platform) migration experience - the single strongest signal * Parity/statistical testing methodology * Data orchestration (Airflow, dbt, Step Functions) * Data governance & compliance (PII/GDPR); regulated industry background (iGaming strongly preferred, but FS, banking considered) Soft skills * Comfortable working to an established pattern at pace within a small delivery team * Clear communicator with client stakeholders - must articulate their own experience specifically and confidently (see below) * Consulting/client-facing delivery experience advantageous, Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. ## Description CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer, a second Senior Data Engineer ML, and 0.5 FTE Cloud/DevOps), building and migrating the data pipelines that feed model training and inference, and proving parity between the old and new platforms. This is hands-on delivery in a regulated iGaming environment: production pipelines, not notebooks., * Migrate ML data pipelines from Databricks (Spark/Delta Lake) to the SageMaker-based "golden template" architecture, working to the pattern set by the Lead ML Ops Engineer * Build and amend feature engineering pipelines, feature store integrations, and data access layers (S3, Glue, Lake Formation) supporting migrated models * Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs * Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment * Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams * Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts, We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)