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Birmingham, GB
Actively hiring, first seen by us todayLead design and implementation of SAP Datasphere and Business Data Cloud solutions
Design logical and physical data models for reporting, analytics and AI
Build semantic business layers and business-ready data products in SAP Datasphere
Develop data integrations across SAP S/4HANA, ECC, SuccessFactors, Ariba, Concur and non-SAP apps
Advise clients on moving from SAP BW to cloud data platforms
Leading the design and implementation of SAP Datasphere and SAP Business Data Cloud solutions.
Designing logical and physical data models to support enterprise reporting, analytics and AI use cases.
Building semantic business layers and business-ready data products within SAP Datasphere.
Developing data integration solutions across SAP S/4HANA, SAP ECC, SAP SuccessFactors, SAP Ariba, SAP Concur and non-SAP applications.
Advising clients on SAP data modernisation strategies, including BW, BW/4HANA and cloud migration roadmaps.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 6 and day 47.
From 1,425 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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- Strong understanding of SAP S/4HANA data structures and business processes. - Experience with SQL, data transformation and data integration technologies. - Strong stakeholder management and consulting skills.
- Public Sector, Defence, Financial Services or regulated industry experience. - Experience with hyperscaler cloud platforms including Microsoft Azure, AWS or Google Cloud. - SAP certifications in SAP Datasphere, SAP Analytics Cloud or Business Data Cloud technologies.
You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different
Who you'll be working with You will join Capgemini's SAP Data & Analytics Practice, a rapidly growing team helping some of the world's leading organisations modernise their enterprise data landscapes. Working alongside SAP solution architects, data engineers, analytics consultants and business transformation specialists, you will play a key role in delivering next-generation SAP data platforms built on SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud and SAP S/4HANA. As part of Capgemini's wider SAP Centre of Excellence, you will collaborate with global delivery teams and technology partners while supporting clients across multiple sectors, including Financial Services, Consumer Products, Retail, Manufacturing, Utilities and Public Sector.
The focus of your role As a Senior SAP Datasphere & Business Data Cloud Consultant, you will lead the design and implementation of modern SAP data and analytics solutions that enable organisations to unlock value from both SAP and non-SAP data sources. You will advise clients on data strategy, architecture, governance and analytics transformation programmes while helping organisations transition from traditional SAP BW environments towards SAP's strategic cloud-based data platform.
Key responsibilities will include: - Leading the design and implementation of SAP Datasphere and SAP Business Data Cloud solutions. - Designing logical and physical data models to support enterprise reporting, analytics and AI use cases.
- Building semantic business layers and business-ready data products within SAP Datasphere. - Developing data integration solutions across SAP S/4HANA, SAP ECC, SAP SuccessFactors, SAP Ariba, SAP Concur and non-SAP applications. - Advising clients on SAP data modernisation strategies, including BW, BW/4HANA and cloud migration roadmaps.
- Advising clients on SAP data modernisation strategies, including BW, BW/4HANA and cloud migration roadmaps. - Delivering data federation, replication and virtualisation solutions using SAP Datasphere capabilities. - Supporting analytics and reporting initiatives leveraging SAP Analytics Cloud and S/4HANA Embedded Analytics.
Essential Skills and Experience: - Strong hands-on experience delivering SAP Datasphere solutions in enterprise environments. - Experience implementing SAP Business Data Cloud or equivalent SAP cloud data management technologies.
- Strong hands-on experience delivering SAP Datasphere solutions in enterprise environments. - Experience implementing SAP Business Data Cloud or equivalent SAP cloud data management technologies. - Strong understanding of SAP's Business Data Fabric architecture and data product concepts.
- Strong understanding of SAP's Business Data Fabric architecture and data product concepts. - Experience integrating SAP and non-SAP data sources into cloud analytics platforms. - Strong data modelling expertise, including analytical models, semantic layers and virtualised data architectures.
Desirable Skills and Experience: - SAP Analytics Cloud (SAC) implementation experience. - Experience with SAP BW, BW on HANA or BW/4HANA.
- SAP Analytics Cloud (SAC) implementation experience. - Experience with SAP BW, BW on HANA or BW/4HANA. - SAP S/4HANA Embedded Analytics expertise.
- SAP S/4HANA Embedded Analytics expertise. - Knowledge of SAP HANA, SQLScript and native HANA modelling. - Experience with SAP Data Intelligence or SAP Integration Suite.
- Knowledge of SAP HANA, SQLScript and native HANA modelling. - Experience with SAP Data Intelligence or SAP Integration Suite. - Understanding of SAP Master Data Governance (MDG).
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
You will join Capgemini's SAP Data & Analytics Practice, a rapidly growing team helping some of the world's leading organisations modernise their enterprise data landscapes. Working alongside SAP solution architects, data engineers, analytics consultants and business transformation specialists, you will play a key role in delivering next-generation SAP data platforms built on SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud and SAP S/4HANA.
As part of Capgemini's wider SAP Centre of Excellence, you will collaborate with global delivery teams and technology partners while supporting clients across multiple sectors, including Financial Services, Consumer Products, Retail, Manufacturing, Utilities and Public Sector.
As a Senior SAP Datasphere & Business Data Cloud Consultant, you will lead the design and implementation of modern SAP data and analytics solutions that enable organisations to unlock value from both SAP and non-SAP data sources.
You will advise clients on data strategy, architecture, governance and analytics transformation programmes while helping organisations transition from traditional SAP BW environments towards SAP's strategic cloud-based data platform.
Key responsibilities will include:
Essential Skills and Experience:
Desirable Skills and Experience:
Hybrid Working: This role follows Capgemini's hybrid-first model, with a blend of home working, Capgemini office locations and client-site attendance depending on project requirements.
Successful applicants will be required to complete pre-employment screening checks, including right-to-work verification, employment history validation and criminal record screening where applicable.
You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
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Birmingham, GB
Additional Information Hybrid Working: This role follows Capgemini's hybrid-first model, with a blend of home working, Capgemini office locations and client-site attendance depending on project requirements. Successful applicants will be required to complete pre-employment screening checks, including right-to-work verification, employment history validation and criminal record screening where applicable.
What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
No clear work-authorization passage found. Eligibility is unconfirmed.