Data Engineer
Posted 2 days ago by IO Associates
£500 Per day
Undetermined
Remote
England, UK
Summary: The role of Data Engineer involves delivering a high-impact data engineering programme with expertise in Databricks, AWS, Azure, and stakeholder communication. This is a fully remote, 6-month contract position suited for individuals who excel in fast-paced, multi-cloud environments. The ideal candidate will be responsible for designing and building data pipelines, developing scalable ETL/ELT frameworks, and collaborating with senior stakeholders. Strong hands-on experience with Databricks and cloud services is essential for success in this role.
Key Responsibilities:
- Design & build pipelines using Databricks, Python, SQL, and cloud-native services across AWS and Azure
- Develop scalable ETL/ELT frameworks and optimise performance across distributed compute
- Implement Lakehouse best practice including Delta Lake, medallion architecture, and governance patterns
- Collaborate with senior stakeholders to translate business requirements into technical delivery
- Ensure platform reliability through monitoring, optimisation, and CI/CD deployment standards
Key Skills:
- Databricks engineering - strong hands-on experience
- Azure data stack - Data Lake, ADF, Functions, DevOps
- AWS data services - Glue, Lambda, S3, EMR (or equivalent)
- Python & SQL - production-grade coding
- CI/CD - Git-based workflows, automated deployments
- Stakeholder communication - able to operate autonomously and influence senior teams
Salary (Rate): £500 daily
City: undetermined
Country: UK
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
I am looking for a Data Engineer with strong Databricks, AWS, Azure, and stakeholder communication skills to deliver a high-impact data engineering programme. This is a 6-month contract, fully remote, and suited to someone who thrives in fast-paced, multi-cloud environments.
Key ResponsibilitiesDesign & build pipelines using Databricks, Python, SQL, and cloud-native services across AWS and Azure
Develop scalable ETL/ELT frameworks and optimise performance across distributed compute
Implement Lakehouse best practice including Delta Lake, medallion architecture, and governance patterns
Collaborate with senior stakeholders to translate business requirements into technical delivery
Ensure platform reliability through monitoring, optimisation, and CI/CD deployment standards
?? Essential Skills & Experience
Databricks engineering - strong hands-on experience
Azure data stack - Data Lake, ADF, Functions, DevOps
AWS data services - Glue, Lambda, S3, EMR (or equivalent)
Python & SQL - production-grade coding
CI/CD - Git-based workflows, automated deployments
Stakeholder communication - able to operate autonomously and influence senior teams
The ideal candidate is someone who is confident navigating multi-cloud environments, can own delivery end-to-end, and communicates clearly with both technical and non-technical stakeholders. You want someone who can drop in, stabilise, optimise, and accelerate delivery from day one. Please apply ASAP as I have slots this week!