At a Glance
- Tasks: Design and build scalable data solutions using Snowflake and collaborate with a dynamic team.
- Company: Join SIS, a forward-thinking company that values data-driven decisions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Flexible working model with excellent career development opportunities.
- Why this job: Make a real impact on innovative projects while working with cutting-edge technologies.
- Qualifications: 3+ years of Data Engineering experience and strong Snowflake expertise required.
The predicted salary is between 50000 - 60000 £ per year.
Data Engineer (12-Month Fixed-Term Contract) Milton Keynes | Hybrid Working (3 Days in the Office) | Maternity Cover
Shape the Future of Data at SIS
Are you a talented Data Engineer with strong Snowflake expertise and a passion for building scalable, high-performance data solutions? At SIS, we're looking for an experienced Data Engineer to join our growing Data Team on a 12-month fixed-term contract to cover a period of maternity leave. This is an exciting opportunity to play a pivotal role in the evolution of our modern data platform, helping to transform complex data into valuable insights that drive business decisions and growth.
Working alongside Data Engineers, Architects, Product Managers and Business Analysts, you'll design, build and optimise robust data pipelines while leveraging the latest capabilities within the Snowflake ecosystem. If you thrive in a collaborative environment and enjoy solving complex data challenges, we'd love to hear from you.
What You'll Be Doing
As a Data Engineer, you'll be responsible for delivering high-quality, scalable and secure data solutions across the business. Key responsibilities include:
- Designing, building and maintaining scalable batch and real-time data pipelines that ingest data from a variety of sources into Snowflake.
- Developing modular, test-driven data models and transformations using dbt.
- Leading the delivery of new data capabilities within Snowflake, optimising performance, cost and scalability.
- Enhancing data governance, security, compliance and access controls through robust policies and best practice.
- Supporting CI/CD deployment processes and version control practices.
- Exploring and implementing advanced Snowflake capabilities such as Snowpark, Streaming and Cortex AI to support Machine Learning and GenAI initiatives.
- Optimising data processing and retrieval performance to improve reporting, analytics and business applications.
- Working closely with stakeholders across the organisation to understand data requirements and translate them into effective solutions.
- Contributing to the ongoing development of the Data Engineering team's capabilities, standards and best practices.
- Supporting research and development activities, evaluating emerging technologies and new Snowflake features.
- Ensuring documentation is maintained to a high standard and promoting continuous improvement across the team.
What We're Looking For
Essential Skills & Experience
- Significant professional experience in Data Engineering, including experience delivering scalable data solutions in a commercial environment.
- At least 3 years of hands-on Snowflake experience.
- Strong enterprise-level SQL expertise.
- Proven experience with data modelling and transformation tools, ideally dbt.
- Experience working across Azure data technologies, including: Azure Data Factory (ADF), SQL Server, Power BI, SQL, Elastic Pool, SSRS.
- Demonstrable experience building scalable, resilient and high-performance data platforms and integration solutions.
- Strong understanding of complex data transformations and ETL/ELT methodologies.
- Experience working in enterprise environments with numerous interdependent data sources and feeds.
- Experience developing Power BI reports and dashboards.
- Knowledge of source control and branch management practices.
- Experience working within Agile delivery environments.
- Good understanding of FinOps principles and cost optimisation within cloud-based data platforms.
Desirable Skills
- Data Lake or Lakehouse technologies.
- Python and/or Data Science experience.
- Databricks.
- Other visualisation tools such as Tableau or Sigma.
About You
We're looking for someone who:
- Is passionate about data engineering and continuous improvement.
- Enjoys collaborating with technical and non-technical stakeholders.
- Has excellent problem-solving and analytical skills.
- Can influence others and build strong working relationships.
- Takes ownership and delivers high-quality solutions.
- Stays curious and embraces new technologies and approaches.
Why Join SIS?
At SIS, data plays a critical role in shaping business decisions and driving future growth. You'll have the opportunity to work with modern cloud technologies, help influence the direction of our data platform, and contribute to innovative projects across the organisation. This role offers a flexible hybrid working model, with a minimum of three days per week in our Milton Keynes office, alongside the opportunity to make a meaningful impact within a collaborative and forward-thinking team.
Apply Today
If you're an experienced Data Engineer looking for your next challenge and want to work with cutting-edge Snowflake technologies in a business that truly values data, we'd love to hear from you.
Data Engineer in Milton Keynes employer: SIS
At SIS, we pride ourselves on being an excellent employer that values innovation and collaboration. Our flexible hybrid working model allows you to balance your professional and personal life while working with cutting-edge technologies in a supportive environment. With ample opportunities for professional growth and a culture that encourages continuous improvement, joining our Data Team in Milton Keynes means becoming part of a forward-thinking organisation that is shaping the future of data.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Milton Keynes
✨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 SIS 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.
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We think you need these skills to ace Data Engineer in Milton Keynes
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SIS, 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 SIS, 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 SIS’s attention and show the tangible impact of your work.
How to prepare for a job interview at SIS
✨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 SIS.
✨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 SIS.
✨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 SIS.
