Data Engineer- Fixed Term

Hovis Bakeries; Sefton; Hybrid; GBP 55,000 - 60,000; Full time

Job summary

Hovis Bakeries in the United Kingdom is seeking a Data Engineer to advance our data infrastructure within the IS Grocery Service Centre. You will design, develop and maintain data pipelines, ETL processes and data models to enable meaningful insights from diverse data sources.

The role requires 3+ years of data engineering experience, strong SQL/SSIS/Data Factory skills, and collaboration across teams. It is a 9-12 month fixed-term, hybrid role with a salary of £55,000 to £60,000 per year.

Qualifications

• At least 3 years of experience as a Data Engineer or in a related IT role.
• Proficiency in T-SQL, Management Studio, Visual Studio, and SQL Server databases.
• Strong knowledge of data warehousing and the Microsoft SQL Stack.
• Hands-on experience with SSIS, Data Factory, ETL frameworks, and medallion architecture.
• Excellent problem-solving and collaboration skills.
• Ability to manage multiple tasks and projects simultaneously.
• Desirable: degree-level education or equivalent qualifications.
• Desirable: knowledge of Power Platform, Azure Data services and Microsoft Fabric.

Responsibilities

• Data Pipeline Development: design and build robust data pipelines that collect, transform, and load data.
• ETL Processes: develop and enhance ETL processes to ensure data accuracy and Timeliness.
• Data Modelling: design data models aligned with analytics needs.
• Database Management: administer and optimize databases and storage solutions.
• Technical Problem Solving: troubleshoot pipelines with the tech team to minimise downtime.
• Data Governance and Compliance: ensure data security and privacy compliance.
• Collaboration: work with analysts and business users to shape data solutions.
• Performance Monitoring: monitor pipeline performance and optimize bottlenecks.
• Continuous Improvement: stay updated on new data engineering technologies.
• Documentation: document processes and configurations for onboarding.

Skills

T-SQL

Management Studio

Visual Studio

SQL Server

SSIS

Data Factory

ETL frameworks

Medallion architecture

Problem solving

Collaboration

Multitasking

Education

Degree level or equivalent qualifications

Tools

Power Platform

Azure Cloud Data services

Microsoft Fabric

SAP

Dynamics 365

Job description

Requisition ID4360-Posted22/10/2026- Region (1) - Job Category (1) -Fixed Term-Full Time- Company (1)

Salary: £55,000pa to £60,000pa
Full time,Hybrid -working in the office 2 days a week and 3 days from home (subject to business needs).
Fixed Term for 9 - 12 Months

As a member of the IS Grocery Service Centre team, the Data Engineer plays a pivotal role in advancing our data infrastructure, analytics capabilities, and data-driven initiatives. This role is responsible for designing, developing, and maintaining efficient data pipelines, ETL processes, and data models that empower our business to derive meaningful insights from our data sources.

The data engineer’s role is multifaceted and is part of central IS function, therefore requires direct engagement across all Grocery Group support BU’s both internal and external to the IS function.

We believe in rewarding our employees and providing a supportive work environment. Here’s what you’ll get:

Key Accountabilities

As a Data Engineer, your key responsibilities will include:

• Data Pipeline Development: Collaborate with cross-functional teams to design and build robust data pipelines that collect, transform, and load data from various sources into our data ecosystem.
• ETL Processes: Develop and enhance ETL processes to ensure the accuracy, integrity, and timeliness of data flowing through the pipelines.
• Data Modelling: Work closely with data analysts and scientists to design and implement effective data models that align with business requirements and support analytical needs.
• Database Management: Administer and optimize databases and data storage solutions, ensuring data availability, performance, and security.
• Technical Problem Solving: Identify and troubleshoot data pipeline and ETL issues in collaboration with the technical support team, minimizing downtime and maintaining data quality.
• Data Governance and Compliance: Implement and adhere to data governance standards and protocols, ensuring data security, privacy, and compliance with relevant regulations.
• Collaboration: Collaborate with data analysts, key business users, and other team members to understand data requirements and provide technical expertise in shaping data solutions.
• Performance Monitoring: Monitor data pipeline performance, proactively addressing bottlenecks and optimizing processes for improved efficiency.
• Continuous Improvement: Stay updated on emerging data engineering technologies, best practices, and tools, and propose innovative solutions to enhance our data capabilities.
• Emerging Technologies: Data Engineers stay up-to-date with emerging technologies, tools, and frameworks in the data engineering space to incorporate the latest advancements into their work.
• Documentation: Thorough documentation of data processes, pipeline workflows, and system configurations is crucial for knowledge sharing, troubleshooting, and onboarding new team members.

The Right Person

• At least 3 years of experience as a Data Engineer or in a related role within IT.
• Proficiency in T-SQL, Management Studio, Visual Studio, SQL Server databases.
• Strong understanding of database warehousing, the Microsoft SQL Stack.
• Hands-on experience with SSIS, Data Factory, ETL frameworks, and medallion architecture.
• Excellent problem-solving skills and the ability to analyse complex technical challenges.
• Strong collaboration and communication skills to work effectively with multidisciplinary teams.
• Proven ability to manage multiple tasks and projects simultaneously.

Beneficial:

• Educated to degree level or has equivalent qualifications or experience.
• Understanding of Power Platform, Azure Cloud Data services and Microsoft Fabric.
• Experience extracting information from SAP and / or Dynamics 365.