At a Glance
- Tasks: Design and maintain scalable data pipelines on Azure, optimising ETL processes.
- Company: Established consultancy driving a high-impact data transformation programme.
- Benefits: Competitive daily rate, flexible work location, and potential for contract extension.
- Other info: Collaborative environment with opportunities to work alongside industry experts.
- Why this job: Join a major Azure-led project and make a significant impact in data engineering.
- Qualifications: Experience with Azure Data Factory, Databricks, SQL, and Python required.
The predicted salary is between 30000 - 40000 £ per year.
Job Description
- Azure Data Engineer
- Rate - up to £350/day Outside IR35
- Location -
- 2 days a week onsite in Central London
- Duration -
- 6 Months + Likely Extension
We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London.
They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension.
Key Responsibilities - Azure Data Engineer
- Design, build and maintain scalable and secure data pipelines on the Azure platform.
- Develop and deploy data ingestion processes using Azure Data Factory, Databricks (Py Spark), and Azure Synapse Analytics.
- Optimise ETL/ELT processes to improve performance, reliability and efficiency.
- Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.
- Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.
- Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).
Required Skills & Experience - Azure Data Engineer
- Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure
- Azure Data Factory
- Azure Databricks (Py Spark)
- SQL & Python
- Understanding of CI/CD in a data environment, ideally with tools like Azure Dev Ops.
- Experience working within consultancy or client-facing projects is highly desirable.
Interested?
Apply now with your CV or reach out to discuss the opportunity further.
This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme.
- Data Engineer, Azure Data Engineer, Senior Data Engineer
- \n#J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer -- Scalable Pipelines (ADF, Databricks) in City of London
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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.
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We think you need these skills to ace Azure Data Engineer -- Scalable Pipelines (ADF, Databricks) in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Involved Solutions, 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 Involved Solutions, 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 Involved Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Involved Solutions
✨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 Involved Solutions.
✨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 Involved Solutions.
✨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 Involved Solutions.
