Data Engineer- Fixed Term

Overview of role

Location: Liverpool, Merseyside

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.

✨ Why Join Us?

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

✅ Competitive Benefits Package including:

Competitive Salary
Generous Leave – 25 days holiday + bank holidays
Free Onsite Parking
Employee Assistance Programme
Healthcare Scheme
Pension Scheme
Onsite Shop
Eyecare Vouchers
Employee Referral Scheme
Grocery and holiday Discounts

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

Essential:

✔️ 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:

✔️ ITIL certified/qualified.

✔️ 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.