National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Migration Developers x 2

Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer...

Data Engineer

BI Developer / Data Analyst (Power BI) - Up to £65K - West Midlands

Data Engineer

Senior Data Engineer...

Senior Data Engineer

Data Migration Developers x 2

Salary: £45,000 - £50,000 + company benefits

Location - Hybrid (2-3 days per week in one of the following offices Bristol, Leicester or Plymouth)

Full time/permanent vacancy

You must be a sole British Nationals and be able to obtain BPSS/SC and NPPV clearance.

JOB PURPOSE

Working with the Business Object Data Services (BODS) Extract, Transform, Load (ETL) toolset to design, develop and support end-to-end data migration processes associated with both SAP and non SAP based programs.
Design and implement data quality and data cleansing requirements and methodologies.
Manage support, tools, and maintenance of integration processes.
Interact and collaborate with other data team members and business analysts.
Maintain and Support Corporate ETL & Data Migration Solutions in both SAP & Microsoft platforms.
Understanding of SAP data structures & tables and loading data to SAP using LSMW and BODS directly.

KEY TASKS

Design and develop SAP BODS jobs for data conversion and data integration to and from SAP and other sources.
Maintain and enhance the existing toolset to ensure delivery of maximum value as the project evolves.
Prepare Excel spreadsheets (Data Collection Workbooks) using SAP load formats (iDoc/BAPI/ABAP Programs) as load templates for data analysts to populate.
Identify and suggest existing or new emerging standards and best practices.
Manage and monitor job schedules and provide fix for any failed schedules/jobs.
Data cleansing, modeling (physical and logical), profiling, enterprise data architecting, data quality and data governance
Collaborate with technical team to maintain BODS server architecture, data governance and end-end processes.
Performance tuning of BODS ETL and data models.
Use the local repository metadata to generate reports for input into program and management reporting cycles.
Move the projects from DEV to SIT, SIT to UAT and UAT to PRD.
Schedule transformation jobs in Management Console to produce data load files in text format for loading via LSMW or directly into SAP tables and structures.
Use Business Objects Data Integrator (BODI) to create projects, batch jobs, workflows and dataflows.

Essential

Data modeling and data architecture skills using BODS ETL toolset
Expertise in SAP Data Extraction process BODS Jobs development.
Evidence of working in a challenging and complex organisation and demonstrable experience of contributing to a technical change.
Good experience of understanding and writing Data Stage ETL specifications and delivery of technical solutions to an agreed standard.
Experience delivering solutions to an agreed standard using industry standard methodologies.
Proven experience working in a small team delivering technical solutions to project requirements.
Bachelor's Degree in an Information Systems Field or preferably at least 3 years plus experience designing and/or delivering BODS ETL solutions/programs.Desirable

Business Objects Data Services certifications (highly desirable).
Experience in one or more SAP full lifecycle implementations using SAP BODS ETL toolset.
Knowledge of Master Data Management and SAP MDM/MDG products.
Experience in SAP functional areas such as Finance, Cost Controlling, Supply Chain, Contract Management and Plant Maintenance.--- Fusion People are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our website

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.