Data Engineer & Analyst

Catalyst
Newton Aycliffe, United Kingdom
2 days ago
£35,000 – £40,000 pa

Salary

£35,000 – £40,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
7 Jun 2026 (2 days ago)

Benefits

Attractive benefits Excellent development potential Generous staff discounts Free on-site parking

Our client, established for almost 30 years and enjoying a turnover of approaching £50m, is an award-winning online retailer serving a professional, skilled workforce and consumers throughout the UK. Stocking tens of thousands of products, it is under new leadership who have joined to drive its next phase of expansion through smarter operations, a richer product offering and even better customer experience.

As Data Engineer & Analyst you will play a key role in building and scaling the company’s data capability. Working closely with the Head of Data, you will be responsible for developing robust data pipelines, maintaining the data warehouse, and delivering high-quality analytics and reporting to support business decision-making.

Sitting at the intersection of Engineering and Analytics, ensuring data is reliable, accessible, and transformed into actionable insights that drive growth across marketing, e-commerce, operations and finance responsibilities will include:

• Data Engineering & Infrastructure

• Analytics & Reporting

• Business Partnering

• Data Quality & Governance

• Continuous Improvement & Innovation

• Ensuring reliable, well-structured data pipelines and datasets; high-quality, trusted and valued reporting used across the business; improved visibility of key commercial and operational metrics; faster turnaround on data requests and more timely insights and increased adoption of data across teams

As Data Engineer & Analyst you will need:

• Strong commercial experience gained in a Data Engineer, Data Analyst or a similar role, preferably gained in a fast-paced, high growth, high volume, e-commerce, retail or FMCG environment

• Familiarity with marketing data (Google Ads, Meta, email platforms etc.) and customer analytics advantageous – as is basic knowledge of Python or R

• Basic SQL skills and understanding of data modelling

• Experience working with big data (e.g. Snowflake, BigQuery, Redshift, dbt, Fivetran/Airflow)

• Experience building dashboards using BI tools (e.g. Power BI, Tableau, Looker)

• Strong analytical thinking and problem-solving skills

• Ability to work with non-technical stakeholders and translate requirements

Data Engineer & Analyst rewards and benefits:

• Basic salary £35-40k + attractive benefits

• Maximum pay/rewards, dependent on possessing all outlined experience, skills, knowledge and qualifications

• Excellent development potential

• Generous staff discounts

• Free on-site parking

Please note: we review applications on receipt and aim to respond to shortlisted candidates within 5 days. You must have permanent eligibility to work in the UK - no visa opportunities available.

Data Engineer & Analyst, Newton Aycliffe

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Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.