At a Glance
- Tasks: Lead data pipeline development and drive data modelling initiatives for digital transformation.
- Company: Join iblue Consulting, a people-focused tech company driving change.
- Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethics, care, and excellence.
- Why this job: Be part of a transformative journey, making a real impact with data.
- Qualifications: Proficiency in Python, Azure Data Factory, and Databricks required.
The predicted salary is between 60000 - 75000 € per year.
Listening, creating and inspiring the digital transformation of our clients is what drives us. We believe that, more than technology, digital transformation is about how people lead change within organisations. By understanding this, the human factor is what enables us to evolve and modernise processes. It is not just another opportunity… but rather an invitation for you to be part of this story. At iblue Consulting, you will work with a multidisciplinary team that is responsible for driving business growth through our people.
We are looking for professionals who share the following values, aligned with our own:
- Care for people
- Responsibility
- Ethics
- Excellence and Results
- Customer at the centre
Requirements
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 their direct manager.
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) with fluent English.
[Vfs] Senior Data Engineer in Warwick employer: iblue Consulting
At iblue Consulting, we pride ourselves on fostering a collaborative and innovative work culture that prioritises the well-being of our employees. As a Senior Data Engineer, you will not only have the opportunity to lead impactful data initiatives but also benefit from continuous professional development and a supportive environment that values ethics, responsibility, and excellence. Located in the vibrant Warwick area, our team enjoys a flexible work schedule, allowing for a healthy work-life balance while contributing to meaningful digital transformations for our clients.
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 people in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. 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 practising common questions and scenarios related to data engineering. Think about how you can demonstrate your problem-solving skills and technical expertise during the conversation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 speaks directly to the role of Senior Data Engineer. Highlight your experience with Python, Azure Data Factory, and Databricks. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for digital transformation and how you can contribute to our mission. Let us know why you're excited about this opportunity at iblue Consulting.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include examples that demonstrate your ability to develop data pipelines and collaborate with business teams. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at iblue Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and Azure knowledge. Be ready to discuss how you've used Azure Data Factory and Databricks in past projects. Prepare specific examples of data pipelines you've developed and how they improved processes.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with business teams, be prepared to share experiences where you've successfully translated technical jargon into layman's terms. Highlight your ability to engage with non-technical stakeholders and how that led to successful project outcomes.
✨Demonstrate Your Problem-Solving Skills
Think of a few challenges you've faced in data engineering and how you overcame them. This could involve data governance issues or optimising workflows. Show them that you can think critically and propose improvements autonomously.
✨Emphasise Your Agile Experience
Familiarity with Agile methodologies is key for this role. Be ready to discuss how you've worked within Scrum or Kanban frameworks. Share examples of how this approach has helped you deliver results efficiently and adapt to changing requirements.
