Data Engineer

Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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Aimtech Recruitment

At a Glance

  • Tasks: Shape cloud data architecture and build high-performance data pipelines.
  • Company: Leading organisation modernising data capabilities in a collaborative environment.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Engage with business users and drive best practices in data solutions.
  • Why this job: Make a real impact by solving complex data challenges in a dynamic industry.
  • Qualifications: Strong Snowflake engineering skills and experience in financial services.

The predicted salary is between 36000 - 60000 £ per year.

We’re partnering with a leading organisation seeking a Snowflake specialist to help modernise and scale their data capability. This is a delivery-focused role where you’ll shape cloud data architecture, lead migrations, and build high-performance data pipelines that directly support business-critical decision making.

The Opportunity

You’ll take ownership of Snowflake environments from design through to optimisation, ensuring data is structured, accessible and engineered for performance. Working across technical and business teams, you’ll translate complex requirements into scalable, resilient data solutions that support analytics, reporting and operational insight.

Your remit will include:

  • Architecting and optimising Snowflake data platforms
  • Leading data ingestion, transformation and consumption strategies
  • Delivering complex data migrations into Snowflake
  • Designing robust data models and warehousing solutions
  • Building and maintaining batch and streaming pipelines
  • Driving best practice across modern data tooling and ELT frameworks
  • Partnering with stakeholders to ensure data solutions align with commercial objectives

What You’ll Bring:

  • Strong hands-on Snowflake engineering capability
  • Experience operating within retail banking or financial services environments
  • Deep understanding of data warehousing principles and modelling techniques
  • Advanced SQL expertise and practical experience with ETL/ELT processes
  • Experience working within AWS cloud environments
  • A track record of delivering successful Snowflake migration programmes
  • Confidence engaging with business users and translating technical concepts clearly

Working Model: Hybrid role with 2–3 days per week onsite. Travel across the UK required to support client delivery.

This role would suit a technically strong, delivery-oriented Data Engineer who enjoys solving complex data challenges within regulated environments.

Data Engineer employer: Aimtech Recruitment

Join a forward-thinking organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions as a Data Engineer will directly impact business success. With a hybrid working model and opportunities for professional growth, you'll collaborate with diverse teams to tackle complex data challenges in the retail banking sector, all while enjoying the benefits of a supportive environment that values your expertise and fosters career advancement.
Aimtech Recruitment

Contact Detail:

Aimtech Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Snowflake projects and data pipelines. This will give potential employers a clear view of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and data warehousing principles. Be ready to discuss how you've tackled complex data challenges in the past, especially in regulated environments.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Data Engineer

Snowflake Engineering
Cloud Data Architecture
Data Migration
Data Ingestion Strategies
Data Transformation
Data Consumption Strategies
Data Warehousing Principles
Data Modelling Techniques
Advanced SQL
ETL Processes
ELT Frameworks
AWS Cloud Environments
Stakeholder Engagement
Complex Problem Solving

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer. Highlight your Snowflake experience and any relevant projects you've worked on, especially those in retail banking or financial services.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled data challenges and delivered successful migrations in the past.

Showcase Your Technical Skills: Don’t hold back on your technical expertise! Make sure to mention your advanced SQL skills and any hands-on experience with AWS cloud environments. We want to see what you can bring to the table!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our team!

How to prepare for a job interview at Aimtech Recruitment

✨Know Your Snowflake Inside Out

Make sure you brush up on your Snowflake skills before the interview. Be ready to discuss your hands-on experience with Snowflake, including any specific projects you've worked on. Highlight how you've architected and optimised Snowflake environments in the past.

✨Speak Their Language

Since this role involves translating complex requirements into data solutions, practice explaining technical concepts in simple terms. Think about how you would describe your work to a business user who may not have a technical background. This will show your ability to bridge the gap between technical and non-technical teams.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex data challenges you've faced and how you solved them. Focus on your experience in retail banking or financial services, as this is particularly relevant. Be ready to discuss your approach to data migrations and how you ensure data is structured and accessible.

✨Engage with Stakeholders

Demonstrate your confidence in engaging with business users during the interview. Share experiences where you partnered with stakeholders to align data solutions with commercial objectives. This will highlight your collaborative approach and understanding of the business impact of your work.

Data Engineer
Aimtech Recruitment
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