Job Description
Data Engineer
£55,000 – £70,000 | Hybrid (1 day per month in Manchester)
Overview
My client is a well-established direct-to-consumer brand embarking on a data-led transformation to improve business performance and decision-making. They’re looking for an experienced, hands-on Data Engineer to design and optimise data architecture, build robust pipelines, and deliver actionable insights across the business.
Key Responsibilities
Data Engineering & SQL Development
* Own and develop the data architecture, ensuring performance and scalability.
* Design, develop, and optimise SQL queries, stored procedures, and ETL pipelines.
* Work with AWS S3 data lakes and ERP systems to extract, transform, and load data.
* Ensure data accuracy and integrity across multiple sources.
* Integrate services via RESTful APIs and manage structured/unstructured data formats.
Data Visualisation & Automation
* Build interactive dashboards in BI tools such as Power BI or Apache Superset.
* Automate KPI tracking and reporting to streamline workflows.
* Partner with teams to identify opportunities for process optimisation.
* Apply best visualisation principles for clarity and impact.
* Ensure dashboard performance and real-time accessibility for business users.
Business Reporting & Data Insights
* Collaborate with stakeholders to define KPIs and reporting needs.
* Develop self-service reporting tools for non-technical teams.
* Conduct data validation and quality assurance to ensure reliable insights.
* Support forecasting and predictive analytics to guide strategic decisions.
* Translate complex data into clear, actionable recommendations.
Required Skills & Experience
* Strong SQL expertise, including optimisation and performance tuning.
* Experience in ETL development, data modelling, and large datasets.
* Proficiency with BI tools such as Power BI, Superset, or Tableau.
* Experience with AWS data tools and governance.
* Strong analytical mindset with a focus on business outcomes.
Nice-to-Have
* Python or Airflow experience for automation.
* Knowledge of data warehouse best practices (Snowflake, BigQuery, Redshift).
* Experience with MS Business Central or similar ERP systems.
* eCommerce or omni-channel retail background.
* Exposure to machine learning and predictive analytics.
This is a great opportunity to join a fast growing, stable D2C brand that values flexibility for all their staff and a chance to take ownership of their data suite.