Azure Data Engineer
Posted Today by Infoplus Technologies UK Limited
Negotiable
Undetermined
Hybrid
West Midlands, England, United Kingdom
Summary: The Azure Data Support Engineer role is a hybrid position based in Coventry, UK, requiring strong expertise in Azure Synapse and PySpark development. The candidate must demonstrate the ability to independently resolve business-as-usual issues and deliver solutions with minimal oversight. The role emphasizes SQL performance tuning and the stabilization of Azure SQL databases. Candidates should have a proven track record in production support and independent delivery of impactful data engineering solutions.
Key Responsibilities:
- Strong Azure Synapse engineering
- Strong PySpark development
- Azure SQL DB stabilization including SQL performance tuning
- Diagnose and permanently fix BAU issues
- Provide candidate mappings against specific Synapse/PySpark examples owned through production support
- Deliver at pace with minimal oversight
- Evidence of independent delivery
Key Skills:
- BSc minimum, MSc or PhD in a STEM field
- 10+ years of professional experience in data engineering or a related field
- SQL Pools, serverless SQL, Spark Pools
- Strong SQL, performance tuning, query optimization
- Data modeling & warehouse concepts (Kimball/Inmon)
- Pipelines, triggers, linked services, integration runtime
- Data flows & orchestration of large-scale ETL/ELT workloads
- Distributed data processing, partitioning strategies, Spark optimization
- Data transformations, Delta Lake, and notebook-based development
- Hierarchical namespace, folder structure design, ACLs, RBAC
- Working with large-scale datasets and optimized storage formats
- Strong understanding of ETL/ELT frameworks, data lifecycle, and data architecture
- Experience with Azure DevOps, CI/CD, Git branching strategies
- Proficiency in SQL and Python
- Knowledge of Databricks (added advantage)
- Experience in Agile/Scrum environments
- Excellent problem-solving, communication, and documentation skills
- Domain knowledge in the water industry (good to have)
Salary (Rate): undetermined
City: Coventry
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job title: Azure Data support Engineer
Will the role be 100% remote, hybrid or 100% office? Hybrid (3 Days Week)
If the role is hybrid/ office based specify location: Coventry, UK
Duration of assignment: 06 Months
Role description:
Non-negotiable technical requirements:
- Strong Azure Synapse engineering
- Strong PySpark development
- Azure SQL DB stabilisation including SQL performance tuning
Seniority signals:
- Proven independent operator
- Able to deliver at pace with minimal oversight
- Can diagnose and permanently fix BAU issues rather than relying on repeated manual intervention
Please provide candidate mappings against:
- specific Synapse/PySpark examples owned through production support
- SQL performance tuning examples
- evidence of independent delivery.
Key responsibilities:
Non-negotiable technical requirements:
- Strong Azure Synapse engineering
- Strong PySpark development
- Azure SQL DB stabilisation including SQL performance tuning
Seniority signals:
- Proven independent operator
- Able to deliver at pace with minimal oversight
- Can diagnose and permanently fix BAU issues rather than relying on repeated manual intervention
Please provide candidate mappings against:
- specific Synapse/PySpark examples owned through production support
- SQL performance tuning examples
- evidence of independent delivery.
Key skills/knowledge/experience:
- BSc minimum, MSc or PhD in a STEM field (e.g., Computer Science,
- 10+ years of professional experience in data Engineer or a related field, with a proven track record of delivering impactful solutions.
- SQL Pools, serverless SQL, Spark Pools
- Strong SQL, performance tuning, query optimization
- Data modeling & warehouse concepts (Kimball/Inmon)
- Pipelines, triggers, linked services, integration runtime
- Data flows & orchestration of large-scale ETL/ELT workloads
- Distributed data processing, partitioning strategies, Spark optimization
- Data transformations, Delta Lake, and notebook-based development
- Hierarchical namespace, folder structure design, ACLs, RBAC
- Working with large-scale datasets and optimized storage formats
- Strong understanding of ETL/ELT frameworks , data lifecycle, and data architecture.
- Experience with Azure DevOps , CI/CD, Git branching strategies.
- Proficiency in SQL and Python.
- Knowledge of Databricks (added advantage).
- Experience in Agile/Scrum environments.
- Excellent problem-solving, communication, and documentation skills.
- Good to Have Domain knowledge.
- Understanding of the water industry.
Person specification :
- Collaborate with customers and stakeholders.
- Grow your career, while being exposed to new technologies.
- Lead projects and inspire both colleagues and stakeholders.
- Mentor junior employees using your expertise