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- Tasks: Design and develop scalable data pipelines using Snowflake and DBT.
- Company: Join a leading global insurance firm transforming its data landscape.
- Benefits: Enjoy hybrid work, competitive rates, and potential contract extensions.
- Why this job: Be part of a dynamic team driving innovative data solutions in a major digital transformation.
- Qualifications: Experience in senior data engineering roles with expertise in SQL, Snowflake, and Azure DevOps required.
- Other info: UK working rights are essential; no visa sponsorship available.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Senior Analytics Data Engineer – Snowflake & DBT (Contract)
Location: London / Hybrid (2 days a week in the office)
Contract Length: 6 Months (with possible extension)
Rate: Negotiable
Ref: J12991
Are you a seasoned Data Engineer with a passion for designing scalable solutions and transforming how businesses harness the power of data? This is an exciting opportunity to play a pivotal role in building a modern, enterprise-wide data platform for a global insurance leader undergoing a major back-office transformation.
Following years of global growth and an ambitious digital transformation programme, a Data Team is being created, tasked with delivering an enterprise data platform, instilling best in class data governance, and enabling smarter, faster decision making through high quality data solutions.
This contract role is central to the initiative. As a Senior Analytics Data Engineer, you will support the definition, delivery, and optimisation of robust, cloud based data engineering pipelines and models. You’ll be a trusted technical advisor, collaborating across business and technology teams to ensure data solutions are aligned with strategic goals.
Responsibilities:
- Design and develop scalable, high-performance data pipelines using Snowflake, DBT, and Azure DevOps
- Implement data transformations and support data curation and modelling best practices
- Champion clean, efficient code and peer review contributions from junior engineers
- Collaborate with stakeholders across geographies to clarify data requirements and drive delivery
- Contribute to the architecture of an enterprise data warehouse and reporting layer
- Support testing, validation, and documentation activities throughout the lifecycle
- Identify system inefficiencies and lead enhancements using innovative solutions
Skills & Experience:
- Proven experience in senior data engineering roles, preferably within regulated industries
- Expertise in SQL, Snowflake, DBT Cloud, and CI/CD pipelines (Azure DevOps)
- Hands-on with ETL tools (e.g. Matillion, SNP Glue, or similar)
- Experience with AWS and/or Azure platforms
- Solid understanding of data modelling, orchestration, and warehousing techniques
- Strong communication, mentoring, and stakeholder engagement skills
- Knowledge of PowerBI and SAP is a plus
- Insurance or reinsurance domain knowledge is desirable
*Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.
If this role sounds like the perfect opportunity for you, don’t hesitate to get in touch today to learn more.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: www.datatech.org.uk
Senior Analytics Data Engineer - Snowflake & DBT (Contract) employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Data Engineer - Snowflake & DBT (Contract)
✨Tip Number 1
Familiarise yourself with Snowflake and DBT by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in regulated industries. Attend meetups or webinars focused on data analytics to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering, particularly around cloud-based solutions and CI/CD pipelines. Being knowledgeable about current technologies will help you stand out as a candidate who is proactive and engaged in the field.
✨Tip Number 4
Prepare for potential technical interviews by practising common data engineering problems and scenarios. Focus on SQL queries, data modelling techniques, and pipeline design to demonstrate your expertise and problem-solving abilities effectively.
We think you need these skills to ace Senior Analytics Data Engineer - Snowflake & DBT (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Snowflake, DBT, and Azure DevOps. Use specific examples to demonstrate your expertise in designing scalable data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the insurance industry. Mention how your skills align with the responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, emphasise your proficiency in SQL, ETL tools, and cloud platforms like AWS or Azure. Be sure to mention any experience you have with data modelling and governance best practices.
Showcase Communication Skills: Since the role involves collaboration with various stakeholders, include examples of how you've effectively communicated technical concepts to non-technical teams in your previous roles.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, DBT, and Azure DevOps in detail. Highlight specific projects where you've designed and developed data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Abilities
During the interview, expect to encounter scenario-based questions that assess your ability to identify system inefficiencies and propose innovative solutions. Think of examples from your past work where you successfully improved processes or resolved complex issues.
✨Emphasise Collaboration and Communication
As a Senior Analytics Data Engineer, you'll need to work closely with various stakeholders. Be sure to share examples of how you've effectively communicated technical concepts to non-technical team members and collaborated across different teams to achieve project goals.
✨Prepare for Questions on Data Governance
Given the focus on best-in-class data governance in this role, be ready to discuss your understanding of data governance principles and practices. Share any relevant experiences where you've implemented or contributed to data governance frameworks in previous roles.
