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For Companies At a Glance
- Tasks: Lead data engineering projects and mentor junior engineers in a collaborative team.
- Company: Join a growing data function in a dynamic hybrid work environment.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact by modernising data platforms and driving best practices.
- Qualifications: Strong SQL and Python skills with 3+ years in Data Engineering.
- Other info: Work with cutting-edge tools like Snowflake, AWS, and Azure DevOps.
The predicted salary is between 48000 - 55000 £ per year.
Location: Accrington - hybrid
Salary: £48,000–£55,000
About the Role
My client is seeking a talented Senior Data Engineer to join a growing data function and play a key role in modernising data platforms, driving best practices, and mentoring junior colleagues. This role is ideal for someone who can hit the ground running, take ownership of key projects, and contribute to a collaborative and business-facing team.
You’ll work across a modern data stack centred on Snowflake, SQL, Python, and DBT, while also contributing to cloud-based ingestion pipelines and regulatory reporting initiatives.
What You’ll Be Doing
- Leading data engineering projects and acting as a senior point of contact within the team.
- Working closely with business SMEs and stakeholders to understand requirements and influence decisions.
- Designing and building scalable ingestion pipelines into Snowflake.
- Mentoring junior engineers and supporting team development.
- Working with tools such as Jira, Azure DevOps, AWS S3 (for file storage), and DBT (nice to have).
Tech Stack & Skills
Essential:- Strong SQL and Python skills
- Solid experience with Snowflake
- 3+ years in Data Engineering, including at least 1 year in a senior or lead capacity
- Experience leading projects and communicating with senior stakeholders
- Strong soft skills and the ability to contribute to senior-level discussions
- Fundamental understanding of DBT
- Experience with AWS (especially S3), Azure DevOps, Jira
- Experience with data governance and regulatory reporting
Senior Data Engineer in Accrington employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Accrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, SQL, and Python. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your soft skills. As a Senior Data Engineer, you'll need to communicate effectively with stakeholders and mentor junior engineers. Practice articulating your thoughts clearly and confidently.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Senior Data Engineer in Accrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your strong SQL and Python skills, as well as any experience with Snowflake and leading projects.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led data engineering projects and mentored junior engineers, showing us your leadership style.
Showcase Your Soft Skills: Don’t forget to mention your soft skills! We value communication and collaboration, so give us examples of how you've influenced decisions and worked with stakeholders in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Harnham
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Snowflake, SQL, and Python. Brush up on your knowledge of DBT and AWS S3 too, as these are key components of the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
Since this is a senior position, be prepared to talk about your experience leading data engineering projects. Share specific examples where you’ve influenced decisions and mentored junior colleagues. Highlight your ability to communicate effectively with stakeholders.
✨Understand the Business Needs
Research the company and its business model. Be ready to discuss how you can align data engineering practices with their goals. This shows that you’re not just a techie but also understand the bigger picture and can contribute to strategic discussions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and how you handle challenges. Think of scenarios where you had to design scalable ingestion pipelines or deal with regulatory reporting. Practising these will help you articulate your thought process during the interview.
