Data Engineer | ETL, Python, ML, LLM, MDM

Data Engineer | ETL, SQL, Python, ML, LLM | FTC

We have an exciting opportunity to join a dynamic data programme, embarking on a journey of discovery and delivery to fully leverage data across the organisation. After 30 years of growth and acquisition, our business is now focusing on internal projects aimed at taking stock of our data assets and answering key questions: Where is our data? Who is using it? Where is it going? And what can we do with it?

Duration: This role will be offered as a fixed-term contract, set to run until the end of 2025.
Location: Mid-Suffolk, between Stowmarket and Bury St Edmunds. – Hybrid, 3 days on site
Salary: Dependent on experience, up to £60,000 plus benefits is a guide
Right to work: No sponsorship or transfers will be possible for this opportunity

‘We are looking for people with top level SQL, Python, and other data engineering languages. They should have experience of upskilling and coaching other team and programme members. Experience with data engineering common practises and processes such as ETL, MDM, are a must at this stage as the programme is focusing on data cleansing, with a view to bringing in AI/LLM tools in the future. Essentially we are looking for someone to work within a team to embed data foundations, data engineering processes and best practise, were there is currently none.’

Key Responsibilities:

• Data Preparation and Cleansing: Gather, analyze, and prepare data from a wide range of technology stacks for cleansing.
• Data Analysis: Interrogate and manipulate data to solve complex business problems.
• Collaboration: Work with business stakeholders to identify technical requirements and collaboratively design data products to meet business outcomes.
• Process Establishment: Establish processes for data manipulation to ensure they are repeatable and scalable.
• Support and Analysis: Assist the programme team with business analysis activities by performing analysis and mining on existing data platforms.
• Workshop Participation: Participate in data workshops with technical and non-technical stakeholders, confidently presenting findings from data exploration work.

Required Skills and Experience:

• Analytical Solutions: Experience in designing and implementing analytical solutions to solve complex business problems.
• Data Mining Tools: Proficiency with data mining tools and techniques, such as SQL and Python.
• Large Datasets: Background in working with large and complex datasets, identifying patterns, trends, and insights.
• Communication: Ability to communicate findings and recommendations to both technical and non-technical stakeholders.
• Data Privacy: Experience in ensuring data privacy and security, adhering to GDPR standards.

Ideal (Not Essential) Skills:

• Database Technologies: Experience with database technologies across multiple stacks, including Microsoft SQL Server, Oracle, and PostGIS.
• Analytics Tools: Experience working within a data analytics team and utilizing analytics tools (e.g., Power BI).
• Big Data Technologies: Familiarity with big data technologies such as Hadoop and Spark.
• Guidance and Support: Experience in providing guidance on new processes and technology to support data roles.

If this role interests you, please apply.

Data Engineering | Data Solutions | Data Management | Data Analyst | Data Mining | Business Analyst | ETL | Python | Oracle | SQL | Machine Learning