At a Glance
- Tasks: Design and develop scalable data solutions using Azure Databricks.
- Company: Join a global tech organisation delivering cloud data platforms.
- Benefits: Earn £425/day, fully remote work, and long-term contract.
- Other info: Immediate interviews and excellent opportunities for career growth.
- Why this job: Tackle complex challenges and make an impact in data engineering.
- Qualifications: Strong Python, PySpark, and Azure Databricks experience required.
The predicted salary is between 60000 - 80000 £ per year.
- Senior Python / Py Spark Data Engineer (Azure Databricks)
- Remote (UK)
- Outside IR35
- Long-Term Contract
About the Role
We're partnering with a global technology organisation delivering enterprise-scale cloud data platforms for major international clients.
We're looking for an experienced
Senior Python / Py Spark Data Engineer to join an established Azure Data Engineering team, working on the design, development and optimisation of scalable data solutions within Azure Databricks.
This is a hands-on engineering role suited to someone who enjoys solving complex technical challenges, writing high-quality code and taking ownership of technical delivery.
Key Responsibilities
- Design and develop data solutions using Azure Databricks.
- Build scalable data pipelines with Python and Py Spark.
- Develop batch and streaming data processing solutions.
- Analyse complex datasets and build efficient data models.
- Deliver robust, production-ready ETL/ELT pipelines.
- Collaborate with other engineers to deliver high-quality cloud data solutions.
Essential Skills
- Strong commercial experience with Azure Databricks.
- Excellent Python and Py Spark skills.
- Strong SQL and core Data Engineering experience.
- Experience building enterprise-scale data pipelines.
- Experience with batch and streaming data processing.
- Understanding of Unity Catalog and core Databricks functionality.
Desirable
- Azure Dev Ops.
- CI/CD pipelines.
- Infrastructure as Code.
- Experience working within enterprise Azure environments.
What We're Looking For
We're looking for engineers who
- Have strong technical and problem-solving skills.
- Can work independently with minimal supervision.
- Produce clean, maintainable, production-quality code.
- Enjoy working in highly technical engineering teams.
- Take ownership and pride in delivering high-quality solutions.
- Technology Stack
Azure Databricks • Python • Py Spark • SQL • Azure Data Lake • Unity Catalog • Databricks Jobs • Batch & Streaming Processing • Git • Azure Dev Ops
- What's on Offer
- Outside IR35.
- Fully remote within the UK.
- Long-term contract.
- Immediate interview process.
Opportunity to work on large-scale cloud data engineering programmes.
Interested?
- If you're an experienced
- Python / Py Spark Data Engineer with strong
- Azure Databricks experience and you're looking for your next
Outside IR35 contract, we'd love to hear from you.
Apply today or send your CV for a confidential discussion. We're reviewing applications as they come in, with interviews taking place on a rolling basis.
Senior Python / PySpark Data Engineer (Azure Databricks) in Aberdeen employer: Venturi
As an Azure Integrations Engineer in Manchester, you'll be part of a dynamic team driving a significant technology transformation. Our company fosters a collaborative work culture that values innovation and professional growth, offering hybrid working arrangements to ensure a healthy work-life balance. With opportunities for continuous learning and development, you will play a crucial role in shaping modern cloud-native integrations while enjoying the benefits of working in a vibrant city known for its rich culture and community spirit.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python / PySpark Data Engineer (Azure Databricks) in Aberdeen
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Venturi before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Venturi.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Venturi.
We think you need these skills to ace Senior Python / PySpark Data Engineer (Azure Databricks) in Aberdeen
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Venturi, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Venturi, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Venturi’s attention and show the tangible impact of your work.
How to prepare for a job interview at Venturi
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Venturi.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Venturi.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Venturi.
