Analytics Data Engineer

JR United Kingdom; City Of London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading Financial Services organisation is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. This permanent role allows you to design and deliver data products that empower business teams with self-service analytics capabilities, utilizing technologies like Snowflake, Power BI, and Python.

Qualifications

• Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools.
• Strong knowledge of dimensional modelling and database principles.
• Exceptional analytical skills to tackle complex data challenges.

Responsibilities

• Design and develop ETL/ELT pipelines and dimensional models optimised for Power BI.
• Define and enforce data ownership, quality, and security standards.
• Create intuitive data models and provide training for self-service analytics.

Skills

ETL/ELT pipelines

Python

SQL

Power BI

Data modelling

Collaboration

Problem-solving

Tools

Power BI

Tableau

Qlik

Job description

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Analytics Data Engineer, london (city of london)

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Client:

McCabe & Barton

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Location: London (Hybrid/Remote available)

Salary: £45,000 - £70,000 based - on experience

The Opportunity

A leading Financial Services organisation is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. This is a permanent role offering competitive compensation and flexible working arrangements.

As an Analytics Data Engineer, you will be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value.

Key Responsibilities

• Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI
• Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture
• Enable Self-Service: Create intuitive data models and provide training to empower business users to explore data independently
• Own the Data Lifecycle: Take end-to-end responsibility for data products, from conception to deployment and continuous improvement
• Champion Innovation: Stay current with the latest trends and advocating for best practices across the organisation

The Ideal Candidate

We're looking for a curious, organised, and outcome-driven professional with a passion for data and collaboration. You should bring:

• Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik
• Data Modelling Skills: Strong knowledge of dimensional modelling and database principles
• Governance Experience: Track record of working in democratized data environments, establishing controls and guardrails
• Collaboration & Communication: Ability to work effectively with senior stakeholders, present data solutions, and guide business users
• Problem-Solving Mindset: Exceptional analytical skills to tackle complex data challenges and deliver reliable, high-performance code

If you are open to exploring this role further, please respond to this advert with your latest CV for review.