At a Glance
- Tasks: Lead data pipeline development and drive data modelling initiatives with autonomy.
- Company: Join a forward-thinking company focused on data engineering excellence.
- Benefits: Competitive pay, flexible work schedule, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Proficient in Python, Azure Data Factory, and Databricks with strong SQL skills.
The predicted salary is between 60000 - 75000 € per year.
We are looking for a Senior Data Engineer with the ability to propose improvements with a degree of autonomy, as well as the skills to lead data pipeline development and drive data modelling initiatives in close partnership with business areas. The successful candidate will be responsible for orchestrating the entire data engineering journey — from the ingestion of data generated by Python-based Azure Functions through to the delivery of solutions built on Azure Data Factory and Databricks.
Key Responsibilities
- Develop and manage data pipelines that consume CSV files generated by Azure Functions, ensuring reliability and maintainability across the data flow.
- Structure data modelling aligned with business needs, guaranteeing quality and performance throughout the data processing lifecycle.
- Orchestrate processes within Azure Data Factory, ensuring scalability and operational efficiency across all data workflows.
- Develop and optimise data workflows in Databricks to support advanced analytics and data transformation requirements.
- Collaborate directly with business teams to translate functional requirements into robust technical solutions.
- Ensure solid data governance practices, including data quality, versioning, and end-to-end data lineage and traceability.
- Document solutions and produce clear manuals and guidelines for both technical and non-technical stakeholders.
Mandatory Technical Requirements
- Proficiency in Python, with the ability to read and interpret scripts running on Azure Functions.
- Strong knowledge of Azure Data Factory, with hands‑on experience in pipeline orchestration and automation.
- Proven experience with Databricks, including familiarity with the Medallion Architecture (Bronze, Silver and Gold layers) for distributed data processing.
- Solid understanding of SQL and data modelling techniques, covering both relational and non‑relational approaches.
- Experience with data ingestion, transformation and storage using Azure Blob Storage and/or Azure Data Lake.
- Understanding of data governance and security best practices within Azure cloud environments.
- Familiarity with code versioning using Git and deployment automation practices.
- Familiarity with DataOps practices applied to data engineering workflows.
- Experience working within Agile methodologies (Scrum and/or Kanban).
Behavioural Competencies
- Excellent communication skills, with the ability to engage effectively with business teams and translate their needs into technical solutions.
- Capacity to work independently, with autonomy to prioritise tasks and make sound technical decisions.
- Collaborative mindset, with the ability to lead both technical and business‑facing discussions alongside the direct manager.
Contract & Location
- 6‑month contract.
- On‑site work 2‑3 times per week.
- Candidates should preferably reside in or near the Warwick area (Manchester, Coventry, Birmingham, Banbury, Solihull, Redditch, Oxford, Northampton) and have fluent English.
[VFS] SENIOR DATA ENGINEER in Warwick employer: iblue
Join a forward-thinking company that values innovation and autonomy, offering a collaborative work culture where your contributions as a Senior Data Engineer will directly impact business outcomes. With a focus on employee growth, we provide opportunities for professional development and the chance to work with cutting-edge technologies in a vibrant location near Warwick, ensuring a fulfilling and rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land [VFS] SENIOR DATA ENGINEER in Warwick
✨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 lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get your hands dirty with some practical projects. Whether it’s building a data pipeline or experimenting with Azure Data Factory, showcasing your skills through real-world examples can really set you apart during interviews.
✨Tip Number 3
Prepare for those technical interviews by brushing up on your Python and SQL skills. Practice common data engineering problems and be ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented folks like you. Plus, it’s a great way to show your enthusiasm for joining our team at StudySmarter.
We think you need these skills to ace [VFS] SENIOR DATA ENGINEER in Warwick
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 proficiency in Python, Azure Data Factory, and Databricks, as these are key to what we’re looking for.
Showcase Your Projects:Include specific examples of data pipelines you've developed or managed. We want to see how you’ve orchestrated data workflows and tackled challenges in previous roles, so don’t hold back!
Be Clear and Concise:When writing your cover letter, get straight to the point. Explain why you’re a great fit for the role and how your experience aligns with our needs. We appreciate clarity and directness!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at iblue
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially how it interacts with Azure Functions. Be ready to discuss your experience with Azure Data Factory and Databricks, as well as the Medallion Architecture. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've proposed improvements in past roles. Think about specific challenges you faced in data pipeline development and how you overcame them. This will show your ability to work autonomously and lead initiatives effectively.
✨Communicate Clearly and Confidently
Since you'll be collaborating with business teams, practice explaining complex technical concepts in simple terms. Being able to translate functional requirements into technical solutions is key, so think of ways to demonstrate this during your interview.
✨Emphasise Your Collaborative Spirit
Highlight your experience working within Agile methodologies and your ability to lead discussions. Prepare to share instances where you worked closely with both technical and non-technical stakeholders, showcasing your collaborative mindset and communication skills.
