Senior SAP Data Engineer - Core SAP Data Platform

Job description

Who We Are Evora Group is a global leader in asset management and field service management consulting, specialising in SAP solutions. Operating across Europe, North America, Asia-Pacific, and the Middle East, Evora partners with asset-intensive industries — utilities, oil & gas, manufacturing, and transport — to optimise how they manage physical assets and field workforces. The company combines deep SAP expertise with strategic advisory, implementation, and managed services. As an SAP Gold Partner, Evora delivers consulting services, software development, quality assurance, and system integration, as well as support and application management. As a trusted partner for data-driven transformation, we help enterprise customers design, build, and operate modern data platforms, business intelligence solutions, and AI-powered applications across both the SAP and Microsoft ecosystems. Our team delivers end-to-end solutions spanning SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, SAP Analytics Cloud, and SAP Asset Performance Management, alongside Microsoft Fabric, Azure, and Power BI. With a strong commitment to quality, innovation, and customer proximity, Evora combines deep technical expertise with strategic advisory to empower organizations on their digital journey. Who We Are Looking For Evora Group is seeking a Senior SAP Data Engineer to architect, build and operate the core data platform that underpins our growing Analytics Practice. This role owns the foundation: data ingestion, modelling, performance, cost, and the governed consumption layer that analytics and planning teams build upon. You will work across SAP Business Data Cloud, SAP Datasphere and SAP HANA Cloud, integrating data from SAP and non-SAP sources for clients in asset-intensive industries including utilities, oil & gas, manufacturing, and transport. Beyond delivery, you will support pre-sales, represent Evora externally in the SAP data community, and help shape the standards of a merged SAP and Microsoft data practice. Key Responsibilities Architect, build and optimize modern SAP data platform solutions based on SAP Business Data Cloud, SAP Datasphere and SAP HANA Cloud, applying SAP reference architectures, Clean Core principles and LSA++ layering. Design robust data models in SAP Datasphere - spaces, tables, graphical and SQL views, associations and analytic models - from source connection through to a governed, documented consumption layer. Implement and tune replication flows, transformation flows and task chains, including delta and change data capture handling, error recovery and restart ability. Establish and maintain connectivity to SAP and non-SAP sources using ODP, ABAP CDS, SAP Landscape Transformation (SLT), Smart Data Integration with the Data Provisioning Agent, cloud object storage and JDBC. Model and optimize on SAP HANA Cloud: calculation views, SQL Script procedures, partitioning, indexing and memory footprint management. Take and justify design decisions on federation versus persistence, data tiering and retention, with explicit attention to platform cost and data volume growth. Define and publish data products within SAP Business Data Cloud, including catalogue entries, semantics and documented consumption contracts for downstream teams. Implement platform security and tenant governance: space design, row-level and object-level security, data access controls, and naming and transport standards. Operate the platform in production - monitoring, alerting, incident response, transport and release management across development, quality and production tiers. Collaborate closely with the sales team to present architecture concepts, solution scenarios and demos to clients, and to support estimation and scoping of new engagements. Represent Evora as a thought leader by conducting client workshops, publishing expert content, contributing to the SAP Community, and speaking at conferences and user group events. Work with SAP Data Analysts and solution architects to agree the semantic layer boundary and hand over documented, tested and supportable models. Maintain awareness of SAP partner programme requirements, competencies and specializations relevant to the data and analytics portfolio. Contribute reusable assets, engineering standards and documentation to the Evora Analytics CoE. What You Bring Required Qualifications Minimum 5+ years of experience in data engineering and analytics, with proven expertise building SAP data platforms. Hands-on delivery experience across SAP Datasphere (2+ years), SAP HANA or SAP HANA Cloud modelling (4+ years), and SAP BW/4HANA or SAP BW-on-HANA (3+ years). Minimum two end-to-end SAP Datasphere or SAP BW/4HANA implementations delivered in a build or lead capacity. Expert SQL, including window and analytical functions, and the ability to read and act on a query execution plan. Strong proficiency in data warehouse modelling, including dimensional design and SAP LSA++ layering principles. Demonstrable experience extracting from SAP S/4HANA or SAP ECC, including CDS view and ODP-based delta extraction. Strong proficiency in Python and/or SQL Script for automation, validation and platform tooling. Experience of production accountability, including incident diagnosis and resolution under agreed service levels. Strong communication skills - able to explain platform constraints and design trade-offs to non-technical stakeholders. Preferred Qualifications SAP Business Data Cloud: data products, Foundation Services, and the Object Resource Discovery catalogue. SAP Databricks or Databricks: PySpark, Delta Lake, Delta Sharing and Unity Catalog. Knowledge of SAP BTP administration: subaccounts, entitlements, destinations, Cloud Connector and SAP Private Link. Experience with SAP BW bridge and BW to Datasphere migration assessment. Git-based development workflows, transport automation, and CI/CD for data artefacts (for example SAP Continuous Integration and Delivery service, abapGit, gCTS). Integration of SAP data into Microsoft Fabric, Power BI or other non-SAP platforms via mirroring, replication or Delta Sharing. Experience with time series or high-volume industrial data in asset-intensive environments, including SAP Asset Performance Management. Working knowledge of the Microsoft data stack (Microsoft Fabric, Azure, Power BI), given the combined SAP and Microsoft practice. SAP certification in a relevant data platform area - for example SAP Certified Associate: Data Engineer, SAP Datasphere; SAP Certified Associate: SAP HANA Cloud Modeling; or SAP Certified Associate: Modeling with SAP BW/4HANA. Personal Attributes Strong analytical thinking and a structured, solution-oriented approach to problem-solving. Self-starter with the ability to work independently, proactively, and across time zones with distributed teams. Excellent communication and collaboration skills, with a high level of customer orientation and service mindset. Commitment to clean-coding standards, documentation, and knowledge sharing rather than individual heroics. What We Offer Our values – Collaboration, Commitment, Evolution, Entrepreneurship, Happiness, and Trust Company culture - We value team cooperation and work together in integrated virtual teams to serve our customers. As a company, we are committed to sharing our success with our employees, both in the form of an exceptionally good company culture and through financial participation. Hybrid mode of working – Our Organization follows hybrid work culture where employees can work twice a week from their respective office space. Great place to work – We are proud to be certified and awarded multiple times as one of the best places to work for any individual. Buddy program – We have a buddy program included in our hiring process which gives an insight to the new joiner about the team, technology n culture before joining us to connect better. Growth and learning – Evora provide various platforms for upskilling in the form of sessions and training which helps an individual to enhance his/her skills. Udemy access provided by the company for upskilling. Benefits – Transportation, Lunch provided in the office, flexibility, Internet and mobile reimbursement, different hub locations, Insurance and many more.