Internal Data Lead

COMPANY BACKGROUND:

SLINGCO is an award winning supplier of high quality tools and accessories for the installation and handling of cable, with over 40 years of industry heritage. We serve customers in over 70 countries worldwide from our head office in Lancashire, UK, and bases in Georgia, USA, and Bengaluru, India.

Our products are used in safety critical applications for a wide range of markets. With sectors including oil & gas, civil engineering, aerospace, transport, utilities, marine/offshore and the military – there’s no room for error. That’s why we do everything with the utmost care and precision.

We design and manufacture to the highest specifications and test to destruction. If our products don’t meet and exceed the most stringent national and international standards, they’re not good enough for our customers.

At Slingco, our goal is to create innovative high-quality products that our customers can depend on, whilst providing a positive experience for our customers and our employees. Every aspect of our work, culture and commitment to innovation is driven by our core values.

LOCATION:

Onsite at Slingco's Head Office in Rawtenstall, Lancashire

PAY & BENEFITS:

• Salary Dependant on Experience
• Company Pension – Enhanced Employer Contributions
• 30 Days Annual Leave – Increasing to 35
• Birthday Off
• Life Insurance (x4 salary)
• Onsite Parking
• Gym Membership
• Cycle to Work Scheme
• Employee Loan Scheme
• Employee Assistance Programme (EAP)

POSITION SUMMARY:

We’re looking for a hands‑on Data Lead to build and own our enterprise data capability.

This is an opportunity to architect and scale a modern data platform within a growing organisation where Data & AI is a dedicated function.

Reporting directly to the IT Director, you’ll define our data architecture, lead offshore engineering delivery, and establish the governance and standards that will shape the business for years to come.

KEY DUTIES & RESPONSIBILITIES:

Architecture & Platform Ownership:

• Define the right fit technology stack for our enterprise data warehouse, covering analysis, design and implementation.
• Define modelling standards (star schemas, semantic layers, reusable datasets).
• Ensure performance, scalability and cost efficiency.
• Build with long-term growth in mind.

Data Engineering & Governance:

• Design and oversee ETL pipelines from ERP, CRM and operational systems.
• Implement data quality controls, testing and monitoring.
• Design and implement a right‑fit data governance structure, enabling trusted data sets & reporting.
• Introduce DataOps practices (version control, deployment standards)
• Act as technical authority across the data estate

Offshore Vendor Management:

• Lead and direct an established offshore data engineering partner
• Set technical standards and review deliverables
• Own outcomes and quality of delivery

Business Enablement:

• Translate commercial and operational requirements into scalable data models
• Improve reporting consistency and data reliability
• Raise data literacy and challenge inconsistent practices

Dashboarding & Reporting:

• Establish a governed semantic layer to enable safe, scalable self‑service reporting across the business.
• Design certified datasets and reusable data models to reduce duplication and inconsistent KPI definitions.
• Own the building of high‑value dashboards (e.g. financial, operational, commercial)
• Establish reporting standards and consistent KPI definitions
• Reduce reliance on ad‑hoc reporting and Excel through scalable, governed datasets.

PERSON SPECIFICATION:

• Proven experience building modern cloud data warehouses (Snowflake, Synapse, Fabric or similar)
• Strong SQL and dimensional modelling expertise
• Experience designing scalable ETL/ELT pipelines
• Experience working with ERP and financial data environments
• Confidence leading distributed or offshore teams
• Strong stakeholder management and communication skills