Job Title

Data EngineerMake sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. 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. Theyre 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 ResponsibilitiesData Engineering & SQL DevelopmentOwn 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 & AutomationBuild 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 InsightsCollaborate 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 & ExperienceStrong 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-HavePython 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.