At a Glance
- Tasks: Build and optimise data pipelines in Snowflake for seamless data flow.
- Company: Leading financial services organisation with a collaborative culture.
- Benefits: Competitive salary, hybrid working model, and opportunity for strategic initiatives.
- Other info: Inclusive environment with excellent career growth opportunities.
- Why this job: Join a dynamic team and make an impact on data-driven projects.
- Qualifications: Experience in data engineering, Snowflake, and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
A leading financial services organisation is seeking a skilled Data Engineer to join their Data Team. This is a backfill FTC position to maintain and enhance data engineering capabilities while the primary role holder focuses on a major Workday HR and finance systems implementation. You will play a critical role in ensuring business-as-usual operations, maintaining robust data pipelines, and optimising the Snowflake environment to support reporting, analytics, and other strategic data initiatives.
Key Responsibilities:
- Data Pipeline Development: Build and maintain pipelines to support smooth data flows into Snowflake.
- Data Modelling & Warehousing: Design, optimise, and scale data models to meet organisational needs.
- Performance Optimisation: Monitor and fine-tune data pipelines and Snowflake performance.
- Collaboration: Partner with stakeholders across teams to understand and deliver on data requirements.
- Governance & Security: Adhere to data governance policies and maintain robust security measures.
- Documentation & Support: Keep processes well-documented and ensure seamless data operations during the systems rollout.
What You’ll Bring:
- Bachelor's degree in Computer Science, Data Engineering, or related field (Snowflake certification desirable).
- Advanced skills in Transact SQL and ETL/ELT tools such as Azure, Airflow, or Qlik Replicate.
- Strong experience in data warehouse modelling and pipeline builds.
- Expertise in Snowflake (or strong knowledge of cloud-based databases such as AWS, Azure, or GCP).
- Experience integrating data from HR & Finance systems, particularly Workday.
- Solid grasp of SDLC and commercial data engineering practices.
- 5 years + of industry experience in designing, building, and optimising data platforms, lakes, or warehouses.
- Excellent problem-solving ability and a passion for leveraging data to drive insight and innovation.
What’s on Offer:
- Competitive FTC salary of circa £95,000 p/a
- Opportunity to work on strategic transformation initiatives
- Collaborative and inclusive team environment
- Hybrid working model for flexibility
- October Start
Data Engineer - Snowflake Specialist employer: ABC
Join a forward-thinking digital services organisation that values innovation and excellence in the Finance and Accounting sector. With a strong emphasis on employee growth, we offer comprehensive training programs and a collaborative work culture that encourages creativity and teamwork. Located in a vibrant area, our company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Snowflake Specialist
✨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 ABC 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 ABC.
✨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 ABC.
We think you need these skills to ace Data Engineer - Snowflake Specialist
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ABC, 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 ABC, 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 ABC’s attention and show the tangible impact of your work.
How to prepare for a job interview at ABC
✨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 ABC.
✨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 ABC.
✨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 ABC.
