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- Tasks: Build and optimise data pipelines in Snowflake for seamless data flow.
- Company: Leading financial services organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and opportunities for strategic projects.
- Why this job: Join a collaborative team and make an impact on data-driven initiatives.
- Qualifications: Experience in data engineering, Snowflake, and strong SQL skills required.
- Other info: Inclusive environment with excellent career growth potential.
The predicted salary is between 78000 - 112000 £ 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
Contact Detail:
ABC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Snowflake Specialist
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data pipelines, models, or any projects you've worked on. This gives potential employers a tangible look at what you can do, especially with Snowflake.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and data modelling skills. Practice common interview questions and be ready to discuss how you’ve optimised data pipelines in the past. Confidence is key!
✨Apply Through Our Website
When you find a role that fits, apply directly through our website! It streamlines the process and shows you're serious about joining our team. Plus, we love seeing applications from motivated candidates like you!
We think you need these skills to ace Data Engineer - Snowflake Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Snowflake, data pipelines, and any relevant projects. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've built or optimised data models and pipelines. This helps us understand your hands-on experience and problem-solving abilities.
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Avoid jargon unless it’s relevant to the role. A well-structured application makes it easier for us to see your potential.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. This ensures your application goes straight to us, and we can review it promptly. We can't wait to hear from you!
How to prepare for a job interview at ABC
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss how you've optimised Snowflake environments in the past and any specific challenges you've faced. This will show that you're not just familiar with the platform, but that you can leverage it effectively.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience in building and maintaining data pipelines. Have examples ready that demonstrate your ability to ensure smooth data flows into Snowflake. Highlight any ETL/ELT tools you've used, like Azure or Airflow, to back up your claims.
✨Collaboration is Key
Since this role involves working with various stakeholders, be prepared to discuss how you've collaborated with different teams in the past. Share specific instances where your communication skills helped deliver on data requirements, especially in a financial services context.
✨Understand Governance & Security
Familiarise yourself with data governance policies and security measures relevant to data engineering. Be ready to explain how you've adhered to these in previous roles, as this will demonstrate your commitment to maintaining robust data operations.