Analytics Data Engineer (Remote)

Allegheny County Economic Development; City Of London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

An established industry player is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. In this permanent role, you will design and deliver data products that empower business teams with self-service analytics capabilities. Leveraging cutting-edge technologies like Snowflake, Power BI, and Python, you'll create scalable data solutions that drive business value. If you're a curious and organized professional with a passion for data, this opportunity offers competitive compensation and flexible working arrangements, making it an exciting next step in your career.

Qualifications

• Proven experience coding ETL/ELT pipelines with Python and SQL.
• Strong knowledge of dimensional modelling and database principles.

Responsibilities

• Collaborate to design and develop ETL/ELT pipelines optimized for Power BI.
• Define and enforce data ownership, quality, and security standards.

Skills

Python

SQL

ETL/ELT tools

Power BI

Tableau

Qlik

Data Modelling

Analytical Skills

Collaboration

Communication

Job description

Analytics Data Engineer

Location: London (Hybrid/Remote available)

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

The Opportunity

A leading Financial Services organization 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

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

The Ideal Candidate

We're looking for a curious, organized, 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