At a Glance
- Tasks: Develop and maintain ETL pipelines using Microsoft Azure technologies.
- Company: Join a well-established organisation with a modern data platform.
- Benefits: Remote work, potential for permanent position, and collaborative team environment.
- Other info: Immediate interviews and excellent growth opportunities await you.
- Why this job: Kickstart your career in Data Engineering with experienced professionals.
- Qualifications: Experience as a Data Engineer or strong SQL skills required.
The predicted salary is between 30000 - 40000 £ per year.
Job Description
\n Junior Data Engineer \n
Remote (1-2 days per month in Coventry) | 3-6 Month Contract | Inside IR35 | Potential Permanent Opportunity
\n Henderson Scott is recruiting for a
Junior Data Engineer to join a well-established organisation with a modern Microsoft Azure data platform. \n This is an excellent opportunity for someone looking to build their career in Data Engineering, working alongside experienced professionals on the development and support of enterprise data solutions. \n The role is predominantly remote, requiring just
1-2 days per month onsite in Coventry , and offers the potential to become a permanent position following the initial contract. Key Responsibilities\n \n \n \n
- Develop and maintain ETL pipelines using Microsoft Azure technologies. \n
- Support the delivery and maintenance of a central Azure data platform. \n
- Design and develop SQL database solutions. \n
- Build and enhance data warehouse solutions and data models. \n
- Work with Azure Dev Ops for source control and deployment. \n
- Support testing, deployment and ongoing maintenance of data solutions. \n
- Work closely with business stakeholders, BI teams and Data Engineers to understand reporting requirements. \n
- Produce technical documentation and support best practice across the Data Engineering function. \n \n \n Essential Skills\n \n \n \n
- Commercial experience as a Data Engineer, Junior Data Engineer, ETL Developer or SQL Developer. \n
- Strong SQL/T-SQL skills. \n
- Experience with Azure Data Factory (ADF). \n
- Azure Synapse experience. \n
- ETL development experience (SSIS experience also considered). \n
- Data Warehousing experience. \n
- Knowledge of Fact and Dimension modelling. \n
- Azure Dev Ops exposure. \n
- Excellent communication skills. \n \n \n Desirable\n \n \n \n
- Microsoft Purview. \n
- Dynamics 365. \n
- Data Vault methodology. \n
- Housing or public sector experience. \n \n \n What's on offer?\n \n \n \n
- Initial
- 3-6 month contract . \n
- Genuine opportunity to secure a permanent position. \n
- Predominantly remote working. \n
- Collaborative and supportive Data Engineering team. \n
- Exposure to modern Microsoft Azure technologies. \n
- Immediate interview process. \n \n If you're looking for your next Data Engineering opportunity and have experience working with Azure and SQL technologies, we'd love to hear from you.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
✨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 Henderson Scott 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 Henderson Scott.
✨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 Henderson Scott.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Henderson Scott, 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 Henderson Scott, 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 Henderson Scott’s attention and show the tangible impact of your work.
How to prepare for a job interview at Henderson Scott
✨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 Henderson Scott.
✨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 Henderson Scott.
✨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 Henderson Scott.
