Senior Data Migration Consultant - Syniti

Capgemini
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Consultant

Senior Microsoft SQL Developer - Fintech SaaS. Full Remote

Senior Microsoft SQL Developer - Fintech SaaS. Full Remote

Senior Microsoft SQL Developer - Fintech SaaS. Full Remote

Senior Data Engineer - £55k - ID38964

Senior Data Engineer - Snowflake - £110,000 - London - Hybrid

The Job You're Considering The Enterprise Data Management practice within the Insights and Data business unit of Capgemini; a global practice involved in Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management.

Considering making an application for this job Check all the details in this job description, and then click on Apply.We help our clients build an enterprise-class data platform that allows them to move ahead in their journey of data and insights. You’ll also be working closely with our SAP Packaged Based Solutions team, collaborating closely and delivering world-class SAP implementations to large SAP customers.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service).Data Integration Designer role revolves around creating efficient, scalable, and reliable solutions for integrating and consolidating data from diverse sources into a unified format, enabling organizations to derive valuable insights and make data-driven decisions.Your Role We are seeking a candidate with extensive experience in SAP data migrations with tools such as SAP Data Services or Syniti ADMM. The ideal candidate will also possess robust functional and data domain expertise.As a consultant, you will not only develop innovative solutions for our clients but also stay updated on the latest advancements in SAP, Syniti, and other vendor offerings. You will provide guidance to clients and internal teams, and you may also share your insights with the broader community through blogs, articles, and social media.What you’ll doLead and Manage Projects: Oversee data migration projects using SAP Data Services or Syniti ADMM, ensuring successful execution and delivery.Customer Guidance: Assist clients in understanding and selecting the appropriate tools for their data migration needs, including Syniti ADMM, SAP Data Services, and other tools.Innovate and Drive Value: Develop new SAP value propositions, go-to-market offerings, and accelerators across data migration and data management domains (Governance, MDM, DQ, Migration, and Analytics).Build Internal Capabilities: Enhance SAP data migration capabilities within the organization by developing propositions, training team members, and fostering knowledge sharing.Collaborative Solution Design: Partner with Capgemini management consultants and program managers to design solutions that leverage SAP packaged content while safeguarding clients’ core requirements and competitive advantage.Global Project Delivery: Collaborate with Capgemini consultants in the UK and internationally to deliver projects on time and meet customer expectations.The role combines technical expertise, leadership skills, and strategic thinking to oversee and manage the data integration design function within an organization. It provides direction, manage resources, collaborate with stakeholders, and ensure the successful execution of data integration projects aligned with business objectives.You can bring your whole self to work. At Capgemini equity, diversity and inclusion is part of everyday life, and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone.Your Skills and Experience

Extensive Experience with Syniti Tools: Proven expertise in working with SAP Data Services and/or Syniti ADMM and other Syniti tools.Leadership in Data Migration: Skilled in managing and leading data migration teams within SAP S/4HANA implementations.Capability Building: Experience in developing capabilities within the practice, leveraging SAP technologies.Innovation and Customer Engagement: Proven ability to drive innovation and work with customers, internal teams, and across multiple geographies.Experience in selling creating compelling propositions to customers: Experience of selling & delivering successful sales customized solutions that meet client needs and business goals, using industry knowledge and innovative strategies to ensure project success.Experience in the Value of Excellent Data Quality: Be able to highlight the critical role of accurate data in migrations in maintaining data integrity, reducing business disruptions, and enabling smooth transitions to new systems for better decision-making.Data Domain Expertise: In-depth knowledge of SAP functional areas such as PP, SD, MM, FI/CO.MDM and Data Migration: Experience in delivering MDM and data migration programs using both standard and innovative approaches.SAP ETL Technologies: 8-10 years of experience with recognized enterprise SAP ETL technologies such as SAP Data Services and Migration Cockpit, including migrating data to SAP S/4HANA and/or ECC systems from SAP and non-SAP source systems.Data Profiling and Cleansing: Expertise in leading and implementing solutions for data profiling, data cleansing, and data enrichment within an SAP context.Your Security Clearance To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.What does ‘Get The Future You Want ‘ mean for 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 ManageMentor, Cybersecurity qualifications and much more.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.