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- Tasks: Design and scale data pipelines for fraud detection and regulatory reporting.
- Company: Join a leading tech firm in Basildon, UK with a focus on innovation.
- Benefits: Long-term contract with competitive pay and opportunities for growth.
- Other info: Collaborative environment with a focus on advanced analytics and GenAI.
- Why this job: Make an impact in risk analytics using cutting-edge Snowflake technology.
- Qualifications: 4+ years as a Snowflake developer with strong SQL and ETL skills.
The predicted salary is between 60000 - 75000 £ per year.
Location: Basildon, UK (On-Site)
Long term contract position
Role Summary
We are looking for a Risk & Data Engineer to design and scale data pipelines, analytical models, and fraud intelligence capabilities that power our MRV/MRD platforms. This role sits at the intersection of data engineering, risk analytics, and platform scale, with a strong focus on Snowflake‑based data warehousing, rule‑driven detection, and explainable risk outcomes. You will work closely with product, backend, and platform teams to enable real‑time and batch fraud detection, regulatory reporting, and multi‑regional data readiness.
Core Responsibilities:
- Design and develop Snowflake‑based data models to support fraud detection, monitoring, and regulatory reporting
- Build and optimize ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures
- Partner with risk stakeholders to support rule‑based and analytical fraud logic
- Ensure data quality, lineage, and auditability across MRV/MRD workflows
- Tune SQL performance and optimize warehouse cost and usage
- Support experimentation with advanced analytics and GenAI‑driven insights
- Collaborate with platform and backend engineers on end‑to‑end data flows
Required Skills & Experience
- 4+ years of hands‑on experience as a Snowflake developer, including data modeling and transformation workflows (dbt preferred).
- Strong expertise in advanced SQL, performance tuning, and warehouse optimization.
- Hands‑on experience building ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures.
- Experience working with CI/CD and version control (GitHub and/or AWS/Azure DevOps) for data pipelines.
- Solid understanding of data engineering principles, including data quality, lineage, and monitoring.
- Exposure to fraud, risk, or compliance analytics, or other rule‑driven analytical systems.
- Familiarity with Python or Java for data processing or integration use cases.
Required Personal Skills:
- Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles
- Good customer service skills. Ability to deal with difficult situations/individuals gracefully
Preferred / Nice to Have
- Experience modeling data from SAP ECC / SAP S/4HANA or other enterprise systems
- SnowPro Certification
- Experience with GenAI‑enabled analytics or feature engineering
Snowflake Data Engineer in Basildon employer: DCV Technologies
Contact Detail:
DCV Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer in Basildon
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Snowflake Data Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Snowflake projects, ETL pipelines, and any cool data models you've built. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL performance tuning and be ready to discuss your experience with fraud detection systems. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Snowflake Data Engineer in Basildon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Snowflake Data Engineer role. Highlight your experience with Snowflake, ETL/ELT pipelines, and any relevant projects that showcase your skills in data modelling and transformation workflows.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your experience with fraud detection and risk analytics!
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention your expertise in SQL performance tuning, data quality, and any tools you've used like dbt or Snowpipe. We want to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at DCV Technologies
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your hands-on experience with data modeling, ETL/ELT pipelines, and performance tuning. Prepare specific examples of how you've optimised warehouse costs and improved SQL performance in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to talk about your communication skills. Share examples of how you've successfully collaborated with product, backend, or platform teams to achieve common goals, especially in fraud detection or regulatory reporting.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Think of scenarios where you've tackled complex data challenges or implemented rule-driven fraud logic. Highlight your approach to ensuring data quality and lineage in your workflows.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in data engineering, especially around GenAI and advanced analytics. Being able to discuss how these technologies can enhance fraud detection or compliance analytics will show your passion for the field and your commitment to continuous learning.