At a Glance
- Tasks: Develop and maintain data pipelines in Azure Lakehouse and create scalable ETL/ELT solutions.
- Company: Exalto Consulting, a forward-thinking company focused on data engineering.
- Benefits: Competitive pay of £460 per day, flexible 3-day work week.
- Other info: Immediate hiring for a contract role until the end of the year.
- Why this job: Join a dynamic team and work with cutting-edge technologies in data engineering.
- Qualifications: Experience in data engineering, Azure, Databricks, and ETL/ELT processes.
Exalto consulting are currently recruiting for a contract data engineer, this is inside IR35, paying £460 per day, initially until the end of the year.
Responsibilities include:
- Developing and maintaining data pipelines to ingest data from legacy systems and operational platforms into the Azure Lakehouse environment.
- Designing and implementing data transformation processes using Databricks, supporting Bronze, Silver, and Gold data layers in line with Medallion Architecture best practices.
- Building scalable ETL/ELT solutions to support enterprise reporting, analytics, and regulatory requirements.
- Creating and optimising data models and datasets for consumption by Power BI and other reporting tools.
- Ensuring data quality, consistency, and integrity through automated validation, monitoring, and testing processes.
- Supporting data migration activities from legacy platforms to cloud native Azure services.
- Contributing to the adoption of engineering best practices, including CI/CD, Infrastructure as Code, automated testing, and version control.
If you have the above experience please send your CV for immediate consideration as our client are looking to hire ASAP.
Data Engineer - 3 days a week in Skipton - £460 inside IR35 employer: Exalto Consulting
Exalto Consulting is an exceptional employer, offering a dynamic work environment in Skipton that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for professional development and the chance to work with cutting-edge technologies in data engineering. Our supportive culture encourages best practices and ensures that every team member can contribute meaningfully to impactful projects while enjoying a flexible work schedule.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - 3 days a week in Skipton - £460 inside IR35
✨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 Exalto Consulting 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 Exalto Consulting.
✨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 Exalto Consulting.
We think you need these skills to ace Data Engineer - 3 days a week in Skipton - £460 inside IR35
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Exalto Consulting, 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 Exalto Consulting, 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 Exalto Consulting’s attention and show the tangible impact of your work.
How to prepare for a job interview at Exalto Consulting
✨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 Exalto Consulting.
✨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 Exalto Consulting.
✨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 Exalto Consulting.
