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Analytics Data Engineer

McCabe & Barton

Greater London

Hybrid

GBP 45,000 - 70,000

Full time

5 days ago
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Job summary

An established industry player is seeking a Senior Information Technology Consultant to lead their data transformation initiatives. In this pivotal role, you will design and deliver innovative data products that empower teams with self-service analytics. By leveraging cutting-edge technologies such as Python, SQL, and Power BI, you'll create scalable solutions that drive business value. This permanent position offers a competitive salary and flexible working arrangements, making it a perfect fit for passionate data professionals looking to make a significant impact in the financial services sector.

Qualifications

  • Proven experience coding ETL/ELT pipelines with Python and SQL.
  • Strong knowledge of dimensional modelling and database principles.
  • Track record of working in democratized data environments.

Responsibilities

  • Collaborate with business domains to design and develop ETL/ELT pipelines.
  • Define and enforce data ownership, quality, and security standards.
  • Create intuitive data models and provide training to business users.

Skills

ETL/ELT pipelines
Python
SQL
Power BI
Tableau
Qlik
Data Modelling
Governance
Collaboration
Problem-Solving

Job description

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Senior Information Technology Consultant at McCabe & Barton

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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology and Engineering
  • Industries
    Financial Services and Data Infrastructure and Analytics

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