Data Engineer

Robert Walters; England; Remote; GBP 65,000 - 75,000; Full time

Job summary

A recruiting agency seeks an experienced Data Engineer to join a forward-thinking organization in the United Kingdom. This role involves designing and implementing modern data architectures, optimising data pipelines, and managing SQL databases. Ideal candidates have strong skills in Python, SQL, Power BI, and experience with Azure and Databricks. Join to play a pivotal role in building a data platform that supports business success and drives innovation. Salary ranges from £65,000 to £75,000 depending on experience.

Qualifications

• Experience data engineering within enterprise environments.
• Power BI experience is crucial.
• Deep understanding of SQL is required.
• Experience with Azure and Databricks is necessary.
• Proficient Python programming skills are needed.
• Ability to design lakehouse architectures is essential.
• Experience with CI / CD pipeline management.

Responsibilities

• Designing and implementing modern data architectures including lakehouse and medallion models.
• Developing, maintaining, and optimising data pipelines.
• Managing MS SQL and Azure SQL databases efficiently.
• Utilising Azure Data Factory, Python to build ETL processes.
• Delivering clean data outputs through Power BI dashboards.
• Ensuring strong governance and data integrity.
• Collaborating with cross-functional teams.

Skills

Data engineering experience

Power BI

SQL

Azure

Databricks

Python programming

Designing lakehouse architectures

Tools

Azure Data Factory

MS SQL Database

Azure SQL Database

Job description

Data Engineer Leicester (remote) £65,000 to £75,000 Permanent

I am currently looking for a Data Engineer to join a forward-thinking organisation, where you will play a pivotal role in building a modern, enterprise-scale data platform.

Data Engineer - What will you be doing?

• Designing and implementing modern data architectures including lakehouse and medallion models using Azure and Databricks.
• Developing, maintaining, and optimising data pipelines, quality validation tools, and lineage tracking systems to guarantee high-quality data outputs.
• Manage MS SQL and Azure SQL databases efficiently while ensuring optimal performance across all environments.
• Utilising Azure Data Factory, Python, and other tools to build efficient ETL processes.
• Delivering clean, insightful data outputs through Power BI dashboards and reports.
• Ensuring strong governance, data integrity, and security across all platforms.
• Collaborate closely with cross-functional teams, delivering projects on time and within scope.

Data Engineer - What will you need?

• Experience data engineering within enterprise environments.
• Power BI experience.
• Deep understanding of SQL.
• Experience with Azure and Databricks.
• Proficient Python programming skills.
• Demonstrated ability to design lakehouse architectures.
• Experience implementing CI / CD pipeline management for reliable solution delivery.