Data Engineer

slihrms; West of England; Hybrid; GBP 55,000 - 85,000; Full time

Benefits offered by this job

Flexible and remote working policies

Hybrid working culture

Training and professional development

Job summary

slihrms is seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data solutions on the Microsoft Azure platform. You'll build robust data pipelines and enable data-driven decision-making for diverse client projects.

You will work in a fast-paced agile environment with some on-site work at client sites, using ADF, Databricks, Synapse, and ADLS. The role requires strong SQL and Python/Scala skills and collaboration with stakeholders across domains.

Qualifications

• Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field.
• Hands-on experience with Microsoft Azure data services.
• Experience with data pipelines and Azure data services.

Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions on Azure.
• Build and optimize ETL/ELT processes using Azure Data Factory, Databricks, and Synapse Analytics.
• Manage and enhance data lakes, data warehouses, and data storage solutions.
• Develop and optimize SQL queries, data models, and database objects for performance and scalability.
• Ensure data quality, security, governance, and compliance with organizational standards.
• Implement CI/CD practices and support deployment automation using Azure DevOps.
• Monitor, troubleshoot, and resolve data platform and pipeline issues.
• Collaborate with business stakeholders, analysts, and developers to deliver data-driven solutions.
• Create and maintain technical documentation, data dictionaries, and operational procedures.
• Support continuous improvement initiatives and adoption of Azure data technologies.

Skills

Azure Data Factory

Azure Databricks

Azure Synapse

Azure Data Lake Storage

Azure SQL

SQL Server

Microsoft Fabric

Advanced SQL

Python

PySpark

Scala

Data warehousing

CI/CD

Azure DevOps

GitHub

Cloud architecture

Distributed processing

Education

Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field

Job description

Overview

You might know us for the great work we do across our wide variety of projects. We're proud to say it's thanks to our people's diversity of thought, expertise and knowledge. And when you join us, you'll be a part of this genuinely collaborative environment, where everyone's voice is valued and treated equally.

We're passionate about what we do, but we don't take ourselves too seriously. Simply put, this is a great place to be. So, when it comes to your life outside of work, ask us about our flexible and remote working policies designed to help you get the most out of life.

You'll keep people connected, critical businesses running and advanced communication networks safe.

You will work with the finest minds on some of the most challenging engineering projects of our time. Our award-winning team push the boundaries to deliver amazing solutions which meet the constantly evolving needs of our clients across a wide range of markets on a global scale.

If you're an experienced and talented data engineer who pushes the boundaries and enjoys an exciting and fast paced agile environment, we can offer you the chance to continue to grow your experience and a competitive package to match. If you want to enjoy a rewarding future as part of our team, where we support creativity through cutting edge technology innovation projects - join us.

You will get involved across the entire data lifecycle, developing, delivering, and supporting cutting edge solutions for our clients across varied domains and verticals. The role will require some on-site working at client sites.

The right candidates will need to demonstrate a desire to be challenged and to contribute towards the success and growth of the business. In return we can offer a challenging and rewarding role, career development, training, an empowered and supportive working environment, and competitive reward package.

We are seeking a skilled and motivated Azure Data Engineer to design, develop, and maintain scalable data solutions on the Microsoft Azure platform. The successful candidate will be responsible for building robust data pipelines, optimizing data storage and processing, and enabling data-driven decision-making across the organization. This role requires expertise in Azure data services, ETL/ELT processes, database technologies, and cloud-based data architectures.

Your role

• Design, develop, and maintain scalable data pipelines and integration solutions on Azure.
• Build and optimize ETL/ELT processes using Azure Data Factory, Databricks, and Synapse Analytics.
• Manage and enhance data lakes, data warehouses, and data storage solutions.
• Develop and optimize SQL queries, data models, and database objects for performance and scalability.
• Ensure data quality, security, governance, and compliance with organizational standards.
• Implement CI/CD practices and support deployment automation using Azure DevOps.
• Monitor, troubleshoot, and resolve data platform and pipeline issues.
• Collaborate with business stakeholders, analysts, and developers to deliver data-driven solutions.
• Create and maintain technical documentation, data dictionaries, and operational procedures.
• Support continuous improvement initiatives and adoption of Azure data technologies.

About you

Technical Skills

• Strong experience with:
• Azure Data Factory (ADF).
• Azure Databricks.
• Azure Synapse Analytics.
• Azure Data Lake Storage (ADLS).
• Azure SQL Database and SQL Server.
• Microsoft Fabric (preferred).
• Advanced SQL development and performance tuning skills.
• Experience with Python, PySpark, or Scala for data processing.
• Knowledge of data warehousing concepts and dimensional modelling.
• Experience with CI/CD pipelines using Azure DevOps or GitHub.
• Understanding cloud architecture and distributed data processing.

Data Management

• Experience with ETL/ELT frameworks and data integration patterns.
• Knowledge of data quality, data governance, and metadata management.
• Familiarity with big data technologies and streaming solutions is advantageous.

Experience & Education

• Required
• Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field.
• Experience in Data Engineering, Database Development, or Data Integration.
• Hands-on experience with Microsoft Azure data services.

• Preferred
• Microsoft certifications such as:
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Azure Fundamentals (AZ-900)
• Azure Database Administrator Associate

Rewards & benefits

Explore the rewards and benefits that help you thrive - at every stage of your life and your career.

Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices.

Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise.

And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal