Senior Data Engineer in Leeds

Senior Data Engineer in Leeds

Leeds Full-Time 55000 - 65000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deliver robust data pipelines using Azure, Python, SQL, and Spark.
  • Company: Join a high-profile, UK-leading organisation with a cloud-first data strategy.
  • Benefits: Competitive salary of £55,000-£65,000 plus excellent benefits.
  • Why this job: Make a real impact on decision-making through scalable, secure data platforms.
  • Qualifications: Extensive experience with Azure services and advanced skills in SQL, Python, and Spark.
  • Other info: Mentor others and shape best practices in a dynamic, agile environment.

The predicted salary is between 55000 - 65000 £ per year.

Location: Leeds, West Yorkshire (Hybrid – 2 days per week)

Employment Type: Permanent

Status: Actively Hiring

Salary: £55,000-£65,000 + Excellent Benefits

WRK digital is excited to be partnering exclusively with a high-profile, UK-leading organisation, currently shortlisting for a Senior Data Engineer on a permanent basis. This role sits at the heart of a cloud-first data strategy, helping to build scalable, secure, and high-quality data platforms that support critical, real-world decision-making.

As a Senior Data Engineer, you will design and deliver robust data pipelines using Azure, Databricks, Python, SQL, and Spark, working closely with data scientists, analysts, and stakeholders in an agile environment. You will also play a key role in mentoring others, shaping best practice, and contributing to the evolution of modern data architecture.

Key Experience
  • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
  • Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.
  • Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps).
  • Strong understanding of data architecture principles and cloud-native design patterns.

We are currently shortlisting this month, with interviews planned for early January. For a confidential conversation about the role, please DM, comment below, or apply via the job ad in the comments for immediate consideration. Unfortunately, this role does not offer sponsorship at this time.

Senior Data Engineer in Leeds employer: WRK digital

At WRK digital, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Leeds location provides a vibrant environment with flexible hybrid working options, ensuring a healthy work-life balance while you contribute to cutting-edge data solutions. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship, making this an ideal place for those looking to advance their careers in data engineering.
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Contact Detail:

WRK digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer in Leeds

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Python. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects with Azure, Databricks, and SQL. 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 common data engineering scenarios. Think about how you’d tackle performance optimisation and distributed processing challenges using Spark and Python.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Senior Data Engineer in Leeds

Azure Services
Azure Databricks
Azure Data Lake Storage
Azure Data Factory
SQL
Python
Spark (PySpark)
Performance Optimization
Distributed Processing
CI/CD Practices
GitHub Actions
Azure DevOps
Data Architecture Principles
Cloud-native Design Patterns
Agile Methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and Python. We want to see how your skills align with the role of a Senior Data Engineer, so don’t be shy about showcasing relevant projects!

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 you can contribute to our cloud-first strategy. Keep it concise but impactful!

Showcase Your Projects: If you've worked on any cool data projects, mention them! We love seeing real-world applications of your skills, especially if they involve Azure services or CI/CD practices. It helps us understand your hands-on experience.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It streamlines the process and ensures your application lands in the right hands quickly!

How to prepare for a job interview at WRK digital

✨Know Your Tech Inside Out

Make sure you brush up on your Azure services, especially Azure Databricks and Data Lake Storage. Be ready to discuss how you've used SQL, Python, and Spark in past projects, focusing on performance optimisation and distributed processing.

✨Showcase Your CI/CD Knowledge

Familiarise yourself with CI/CD practices and be prepared to talk about your experience with tools like GitHub Actions and Azure DevOps. Highlight any specific projects where you implemented these practices to improve efficiency.

✨Understand Data Architecture Principles

Dive deep into data architecture principles and cloud-native design patterns. Be ready to explain how these concepts have influenced your work and how you can apply them to the role at this organisation.

✨Prepare for Team Dynamics

Since you'll be working closely with data scientists and analysts, think about how you can contribute to a collaborative environment. Prepare examples of how you've mentored others or shaped best practices in previous roles.

Senior Data Engineer in Leeds
WRK digital
Location: Leeds

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