• You will develop and maintain data models and structures that enable efficient querying and analysis; • You will design, develop, and maintain data pipelines to transform and process large volumes of data from various sources, while adding business context and semantics to the data; • You will implement automated data quality checks to guarantee data quality and consistency across the whole data life cycle..

Role Description Revecore is embarking on re-architecting and modernizing its core platform. The Data Technology at Revecore is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning (ML) Engineering specializations. The Senior Data Engineer will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate is capable of contributing to platform, architecture, and automation best practices, while also diving deep into specific areas and finding the best path forward. You are expected to pave the path for the data teams around data ingestion, data pipelines and data operations. You will be responsible for building a modern data lakehouse platform that will transform Revecore and its capabilities. What You'll Do - Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence. - Improve the quality of the engineering practice, and the quality of the domain’s output. - Design and develop scalable, maintainable, and reliable data pipelines. - Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency. - Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs. - Proactively research and understand industry trends on various components of the data platform. Qualifications - Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI. - Proven ability to design and build scalable ELT pipelines, data lakes, and data warehouse solutions using modern tools such as Snowflake, dbt, and Airflow. - Deep expertise in Python and SQL is required. - Strong proficiency in C#, with experience maintaining and enhancing complex, homegrown codebases used for data orchestration, transformation, file movement, and delivery. Familiarity with .NET Framework and .NET Core is essential. - Ability to bridge legacy systems with modern cloud-native architectures, contributing to platform modernization efforts. - Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data platforms. - Solid understanding of the data software development lifecycle (SDLC) and deployment automation workflows. - Bachelor’s or Master’s degree in computer science or equivalent experience. Requirements - A quiet, distraction-free environment to work from in your home. - A secure internet connection is required. - Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads. - The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive. Benefits - We offer paid training and incentive plans. - Our medical, dental, vision, and life insurance benefits are available from the first day of employment. - We enjoy excellent work/life balance. - Our Employee Resource Groups build community and foster a culture of belonging and inclusion. - We match 401(k) contributions. - We offer career growth opportunities. - We celebrate 12 paid holidays and generous paid time off. Company Description Revecore has been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Overview: We are looking for a Data Engineer to design, build, and operate production data pipelines and platforms that support large scale AI and ML workloads. The role focuses on end to end data lifecycle management, AWS based infrastructure, and collaboration with ML and data teams. Minimum Qualifications: - Bachelor’s or master’s degree in computer science, data engineering, software engineering, or related field - 2-3+ years of experience building production data pipelines and data platforms for AI or ML systems - Strong proficiency in Python, C++ and distributed data processing frameworks - Hands on experience with AWS services including S3, EC2, SageMaker, and Glue - Experience designing data systems that support large scale ML training and experimentation - Knowledge of data governance, access control, and lifecycle management - Experience working with ML, data science, operations, and cloud engineering teams. Preferred Qualifications: - Experience building pipelines across edge devices and cloud systems - Background working with large scale sensor, image, or IoT data - Familiarity with data labeling tools and annotation workflows - Experience with dataset versioning, lineage, and reproducibility systems - Understanding of privacy, compliance, or regulated data environments - Experience supporting global multi region data platforms. Key Responsibilities: End to End Data Pipeline Ownership - Design, build, and maintain research and production data pipelines spanning edge devices, cloud services, and centralized platforms - Own the full data lifecycle including collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement Edge to Cloud Data Flow - Develop resilient ingestion pipelines that handle device variability and connectivity challenges - Support secure data transfer from field environments to cloud storage - Collaborate with operations teams to improve data coverage, observability, and reliability Data Quality, Governance, and Compliance - Implement privacy preserving transformations and obfuscation pipelines - Build automated data cleaning and validation processes - Establish data lineage, retention policies, and access controls to ensure compliance and traceability Data Services for AI and ML - Provide scalable data services for training, evaluation, and research experimentation - Support continuous data refresh and retraining workflows - Integrate with labeling and annotation systems - Enable efficient access patterns for large scale ML workloads AWS Based Cloud Infrastructure - Build and optimize pipelines using AWS services such as S3, EC2, SageMaker, Lambda, Glue, and Step Functions - Design for cost efficiency, performance, and reliability at scale Collaboration and Feedback Loops - Work with AI and ML engineers, scientists, and data teams to gather data requirements - Translate feedback into automated improvements in data collection and labeling - Support teams with exploratory analysis and data issue debugging Scaling the Data Factory - Design and maintain data schemas, dataset versioning, and data factory updates - Architect global scale data systems across large device fleets - Ensure the platform is flexible for research and reliable for production. What you will love about working here? - We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period. - The gift from the company - Christmas holidays from 25 December to 31 December. - Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. #LI-Remote

Job Description: Strengthen our team as an SAP Data Migration Lead Location: Home‑based, fully remote UK only Security vetting: Candidates must be eligible for SC clearance, subject to BPSS and UKSV vetting, and be a sole UK national. Shape trusted data. Enable confident decisions. Make a lasting impact. We have an exciting opportunity for a highly experienced SAP Data Migration Lead to join DXC Technology’s Greenfield SAP S/4HANA implementation programme. This is a pivotal role where you will help shape the foundation of a major transformation—ensuring data is accurate, reliable, and ready to support the organisation from day one. You’ll play a central role in designing and delivering a thoughtful, end‑to‑end data migration approach, bringing legacy data into the new SAP landscape with care, precision, and confidence. Working in close partnership with business and technical teams, you’ll help create a shared understanding of data, build trust in outcomes, and support successful go‑live and long‑term adoption. About the role As SAP Data Migration Lead, you will be the programme’s trusted authority on data migration, guiding strategy and delivery across Finance, Supply Chain, HR, and technical domains. You’ll bring clarity, structure, and reassurance to complex data challenges, ensuring quality, consistency, and readiness at every stage of the journey. You will facilitate Explore workshops to define scope, legacy sources, and transformation logic, and you’ll coordinate mock loads, reconciliation cycles, and validation activities. A core part of your role will be fostering strong collaboration, resolving issues constructively, and helping stakeholders feel confident in the integrity of the data moving into S/4HANA. What you’ll do - Thoughtfully define migration scope, legacy data sources, and transformation rules - Develop, own, and govern the end‑to‑end data migration strategy and execution plan - Lead mock loads, reconciliation cycles, and data validation activities with care and precision - Partner closely with functional teams to agree business rules, data ownership, and acceptance criteria - Support testing cycles (SIT, UAT), collaborating to resolve defects and reduce risk - Maintain clear, comprehensive migration documentation, audit logs, and compliance evidence - Work collaboratively with cutover and testing teams to align plans, timelines, and dependencies - Mentor and support junior analysts, contributing to improved data governance and shared learning across the programme What we’re looking for - Extensive experience delivering SAP data migration within S/4HANA Greenfield programmes - A strong understanding of legacy systems, data structures, and transformation approaches - Hands‑on experience with LSMW, BODS, LTMC, ETL tools, and SAP Data Services - Knowledge of reconciliation methods, audit controls, and business validation processes - A proven ability to coordinate across functions, encourage alignment, and guide stakeholders through complex decisions - Consultancy background and ideally experience in presales/solutioning Tools & delivery approaches - SAP S/4HANA, SAP LTMC, SAP BODS, LSMW, SAP Data Services - JIRA, Confluence, SAP Solution Manager - SAP Activate and Agile delivery frameworks Desired qualifications - Degree in Data Management, IT, Business, or a related discipline - SAP Data Migration certification (preferred) - PMP, data governance, or related credentials (desirable) How you’ll work with others - A clear, thoughtful communicator who can engage business, technical, and senior stakeholders with confidence - Detail‑focused, with a strong sense of responsibility for data quality, integrity, and assurance - A structured yet flexible thinker, comfortable delivering high‑assurance outcomes in complex environments - A collaborative, supportive leader who enjoys mentoring others and helping teams succeed together About DXC At DXC, you’ll join a team that values innovation, collaboration, and impact. We work with major global clients to solve complex challenges and build digital solutions that power transformation. You’ll have the opportunity to grow your SAP expertise, share your ideas, and be part of a culture that celebrates continuous learning. Employee Benefits: - As part of our competitive remuneration package, flexible benefits are available. There is an option to “flex up and down” on specific benefits, for example buy or sell annual leave, Private Medical Benefit, Dental and Travel Insurance - You will also have access to ‘Perks at Work’, a discount store to purchase gift cards at reduced rates and get discounts on holidays, restaurants, activities, groceries and more What's Next If you’re ready to own end‑to‑end SAP data migration and influence a major S/4HANA transformation, this is the opportunity built for you and we’d love to hear from you. Apply now! At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.