Azure Data Engineer

360 Resourcing Solutions
Slough, UK
8 days ago
Apply on www.reed.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£45,000.0 - £50,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Databases Data Cleansing Information Engineering Data Integrity Extract Transform Load (ETL) Data Warehousing Database Models Document-Oriented Databases Memory Management Python (Programming Language) Query Optimization
+11 more
Power BI Azure Data Lake SQL Stored Procedures SQL Databases Data Streaming Transact-SQL Data Ingestion Azure Data Factory Star Schema Data Pipelines Databricks

Job description

Due to exciting growth we are looking for an ambitious and skilled Azure Data Engineer to join the Business Intelligence function and play a key role in architecting, maintaining and troubleshooting internal database structures.

As the new Azure Data Engineer you’ll be part of the Database team, working closely with the reporting and QA teams to deliver top level data outputs for internal and external facing reporting, including 3rd party integrations.

On a daily basis the Azure Data Engineer will be responsible for:

  • Build and Refine queries, CTE’s, stored procedures, views and functions
  • Create and Maintain tables, indexes, constraints, schemas and triggers
  • Diagnose slow queries using execution plans, cardinality estimates, IO and wait stats
  • Design optimized queries for CPU, IO and memory usage, reducing locking.
  • Checking job schedules, ETL Pipelines and data freshness
  • Build and Maintain ingestion pipelines
  • Enforce constraints, referential integrity and validation rules
  • Support compliance requirements
  • Document data pipelines, schemas, stored procedures, data flows and standards
  • Promote best practices
  • Plan for Scalability

Requirements

To be considered for this role as our Azure Data Engineer you should have experience of:

  • Strong experience developing in SQL from creating database models from scratch
  • Solid understanding of Data Warehousing (star schema, fact/dimension design)
  • Expert in writing efficient TSQL code
  • Proficient in query optimization, partitioning and index design.
  • Good understanding of data cleansing and preparation
  • Strong analytical and problem-solving skills.
  • Ability to collaborate across the whole BI team
  • Practical and proven experience in designing and deploying Azure Data Factory data pipeline.
  • Translating business questions into SQL and explaining query logic clearly, * Azure Data Factory
  • Azure Data Lake
  • Data Engineering Roles
  • Data Warehousing
  • Databricks (Data Engineering)
  • ETL (Extract Transform Load)
  • Microsoft Azure (Line)
  • Power BI (Opportunity)
  • Python Programming (Beginner)
  • SQL Databases

Benefits & conditions

This is a fantastic opportunity for an experienced Azure Data Engineer to work on high-impact, client-facing reporting solutions. You will be part of a modern, collaborative BI team with a clear structure and growth plan. The role is only 1 day a month in the office and offers competitive salary and benefits package. Interested? Apply now for an immediate interview.

About the company

My client is a leading Retail Consultancy that work with a number of high profile Retail chains, consuming data and providing Insight and Reports.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.reed.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

Videos

See all

Related articles

See all