Data Engineering Lead / Data Architect

Weston-super-Mare
3 weeks ago
Create job alert

This rapidly expanding manufacturer and retailer and looking to appoint a Data Engineering Lead / Data Architect to support on the continued evolution their Data Strategy and roadmap towards using more advanced analytics and insight to drive commercial growth. You will be pivotal and hands-on in leading a small team of Data Engineers and BI Developers to support their Cloud transformation.

Client Details

Rapidly expanding manufacturer and retailer

Description

This rapidly expanding manufacturer and retailer and looking to appoint a Data Engineering Lead / Data Architect to support on the continued evolution their Data Strategy and roadmap towards using more advanced analytics and insight to drive commercial growth. You will be pivotal and hands-on in leading a small team of Data Engineers and BI Developers to support their Cloud transformation, a knowledge of Data Architecture is highly desirable but a Senior Data Engineer looking to transition into this domain will also be considered.

Key Responsibilities:

Oversee and lead the design and implementation of ETL/ELT processes to ingest data from new ERP system into Snowflake
Architect and develop the Snowflake data warehouse to support reporting and analytics needs, incorporating existing SQL-Server based business logic, whilst optimising the warehouse structure for performance, scalability, and ease of use
Ensure that the BI and Data team work closely and collaboratively with business users to understand, qualify, design, build test, and deliver their requirements
Work in collaboration with and oversee third-party providers to ensure that technologies and services are both cost-effective and optimized for the organization, while ensuring that providers adhere to established Service Level Agreements.
Provide direction for how the business are moving, transforming, storing, and retrieving data to enable the most efficient and effective use of technology for the business
Design, implement, and manage the BI infrastructure and services, as well as deliver business data insights requirement in alignment to the IT strategy and roadmap
Act as subject matter expert on all aspects of data analytics, analytics data modelling and warehousing, data mining, and presentation with a view to support future relevant projects and initiatives
Ensure that BI service runs smoothly, including to act as a point of escalation for the Support and Technical teams, to monitor and resolve issues
Work with senior stakeholders and programme boards to deliver company KPI reportingKey Technical Areas:

Systems Architecture: Knowledge of system architecture models, including the design, behavior, and interaction of components and subsystems that enable seamless data integration, storage, processing, and analytics, ensuring scalable secure, and efficient solutions aligned with business objectives.
Business Analysis: Translate internal stakeholders'requirements and technology requirements into a strategic application portfolio plan and ensure its effective management and alignment with organisational goals.
Business Intelligence: Knowledge of the data lifecycle from ETL, through to the analysis of datasets, leading to the publication of information and aiding business stake holders to derive insight and potential trends.
IT Security: Understand IT security challenges and risks, and technologies and techniques to mitigate risks.
Effective Governance: Effectively manage projects and programmes including processes, customs and policies that affect these, as well as relationships between stakeholders and company goals.
Service and Supplier Management: The ability to provide high quality Service Management that aligns the delivery of IS services with the needs of the business, through high-quality products services and the management of external services Key Skills & Experience:

Essential:

Experience with ETL/ETL tools (Matillion preferred)
Experience of SQL Server and Snowflake (or other variants of Cloud Data Warehousing solutions e.g Azure / AWS etc)
Experience using Kimball methodology to support analytics and reporting
Experience with data migration, including mapping existing business logic to new data sources
Experience of converting business requirements into a delivered solution
Experience with Power BIDesirable:

Experience of Business Systems reporting, including ERP
Understanding of the MS BI stack (SSIS, SSAS)
Knowledge of Microsoft Dynamics AX or IFS
Manufacturing and supply chain exposure
Understanding of financial principles
Experience of business KPI reporting

Profile

Key Skills & Experience:

Essential:

Experience with ETL/ELT tools (Matillion preferred)
Experience of SQL Server and Snowflake (or other variants of Cloud Data Warehousing solutions e.g Azure / AWS etc)
Experience using Kimball methodology to support analytics and reporting
Experience with data migration, including mapping existing business logic to new data sources
Experience of converting business requirements into a delivered solution
Experience with Power BIDesirable:

Experience of Business Systems reporting, including ERP
Understanding of the MS BI stack (SSIS, SSAS)
Knowledge of Microsoft Dynamics AX or IFS
Manufacturing and supply chain exposure
Understanding of financial principles
Experience of business KPI reportingJob Offer

Opportunity to work on a major Data Transformation Programme

Opportunity to join a rapid growth organisation

Related Jobs

View all jobs

Data Engineering Lead

Data Engineering Lead

Lead Data Engineer AWS

Staff/Lead Data Engineer

Data Engineering Lead

Data Engineering Lead

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.