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For Companies At a Glance
- Tasks: Design and build data pipelines on Microsoft Azure, transforming complex datasets into analytics-ready formats.
- Company: Join a small, innovative team at Synextra, a Microsoft-specialist Managed Service Provider.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Shape the future of data engineering while working with cutting-edge technologies.
- Qualifications: Proficiency in Python, PySpark, and SQL; experience with Azure tools and DevOps practices.
- Other info: Dynamic role with potential for leadership and mentoring junior engineers.
The predicted salary is between 36000 - 60000 £ per year.
About Synextra
Synextra is a Microsoft-specialist Managed Service Provider headquartered in Warrington, operating as a premium partner to regulated mid-market organisations including law firms, financial services firms, and mortgage lenders. We're deliberately small - around 35 people - because we believe the best outcomes come from technical depth, not headcount. Our AI Services Division is growing fast, and we're building out a serious data and engineering capability to match. This is a chance to get in early and shape how that function operates.
The Role
We're looking for a technically driven Azure Data Engineer to join our data platform team. You'll design, build, and maintain production-grade data pipelines on Microsoft Azure - transforming complex, diverse datasets into analytics-ready formats that power business intelligence and AI initiatives for our clients and internally. The ideal candidate treats pipelines and infrastructure as code, with a genuine passion for software engineering in a data context. You'll work across the modern Azure data stack - ADF, ADLS Gen2, PySpark, Delta Lake - with increasing exposure to Microsoft Fabric as the platform matures. You'll collaborate closely with customers and internal teams to ensure data is structured and governed for reliable downstream consumption. This is a hands-on engineering role with room to grow into leadership: you'll champion DevOps best practices, contribute to architectural decisions, and help mentor junior engineers as the team scales.
Responsibilities
- Architect and write production-grade ELT/ETL data pipelines using PySpark and Python within Azure ecosystem.
- Build custom, reusable data processing frameworks and libraries in Python/Scala to streamline ingestion and transformation tasks across the engineering team.
- Programmatically ingest large volumes of structured and unstructured data from REST APIs, streaming platforms (e.g. Event Hubs, Kafka), and legacy databases into ADLS Gen2 and OneLake.
- Develop structured data models aligned to Lakehouse, Medallion Architecture, and Delta Lake patterns.
- Continuously profile, debug, and optimise Spark jobs, SQL queries, and Python scripts for maximum performance and cost-efficiency at scale.
- Champion DevOps best practices: implement infrastructure-as-code (Terraform), automated testing, and CI/CD deployment pipelines via Git and Azure DevOps.
- Identifying patterns in recurring issues and engineering permanent solutions.
- Write comprehensive unit and integration tests for all data pipelines to ensure data integrity; enforce data governance protocols, RBAC, and encryption standards across all environments.
Requirements
Essential Technical Skills
- Advanced proficiency in Python and PySpark, writing clean, modular, object-oriented code for data transformations.
- Strong command of SQL (T-SQL, Spark SQL) for data exploration, validation, and final-stage modelling.
- Deep hands-on experience with Microsoft Fabric and its tooling such as Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS Gen2).
- Practical experience with Git, branching strategies, automated testing (e.g. pytest), and CI/CD orchestration via Azure DevOps.
- Proven commercial track record of deploying complex data solutions on the Microsoft Azure platform.
- Experience collaborating with a range of stakeholders to structure data for downstream consumption (e.g. MLflow, Power BI semantic models).
- Infrastructure-as-code experience with Terraform for Azure resource provisioning.
Desirable Technical Skills
- Familiarity with streaming data architectures (Spark Structured Streaming).
- Knowledge of complementary modern data stack tools such as dbt for SQL-based transformations.
- Experience integrating Large Language Models (LLMs) or operationalising AI/ML models.
Personal Qualities
- Exceptional problem-solving abilities and a persistent, detail-oriented approach to debugging complex code.
- Strong communication skills to effectively translate business requirements into technical architectures.
- A proactive mindset focused on continuous learning and staying ahead of the rapidly evolving data landscape.
- Willingness to review code submissions, enforce coding standards, and mentor junior engineers on the team.
Preferred Background
- 3–5+ years in software engineering, data engineering, or Big Data environments with a code-first approach.
- Proven commercial experience deploying and maintaining complex data solutions on Microsoft Azure.
- Experience working in cross-functional teams.
Data Engineer (Azure Data Platform) in Warrington employer: Synextra
Contact Detail:
Synextra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Azure Data Platform) in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those using Azure tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer (Azure Data Platform) in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, Python, and PySpark, and don’t forget to mention any relevant projects that showcase your skills in building data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our needs at Synextra. Be sure to mention your enthusiasm for working in a small, dynamic team.
Showcase Your Technical Skills: In your application, be specific about your technical skills. Mention your proficiency in SQL, experience with Azure Data Factory, and any familiarity with DevOps practices. We want to see how you can contribute to our data platform team!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Synextra
✨Know Your Tech Stack
Make sure you’re well-versed in the Azure data stack, especially ADF, ADLS Gen2, and PySpark. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your ability to write clean, efficient queries.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Synextra values exceptional problem-solving abilities, so have a few examples ready that highlight your detail-oriented approach.
✨Emphasise Collaboration
Since this role involves working closely with customers and internal teams, be ready to talk about your experience collaborating with various stakeholders. Highlight how you’ve structured data for downstream consumption and any successful projects that involved teamwork.
✨Demonstrate Your Passion for Learning
Synextra is looking for someone with a proactive mindset focused on continuous learning. Share how you stay updated with the latest trends in data engineering and any recent technologies or methodologies you've explored.