At a Glance
- Tasks: Lead data engineering projects and support junior team members in a fast-paced environment.
- Company: Join a rapidly growing tech consultancy co-founded in 2019, serving Fortune 500 clients.
- Benefits: Competitive contract salary, opportunities for professional growth, and a dynamic work culture.
- Other info: Collaborative atmosphere with a focus on mentoring and adopting best practices in data engineering.
- Why this job: Make a real impact by driving data solutions and transforming businesses with cutting-edge technology.
- Qualifications: Experience in RDBMS, Python, SQL, and data migration, especially with SAP and Netsuite.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Engineer with SAP experience
Overview
This role exists to drive value for our customers and business functions through effective data engineering, modelling, and data transformations by leading the delivery of strategic data solutions whilst setting up resilient data architecture and engineering foundations and supporting junior members of the data engineering team.
We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. Our global talent has helped many clients achieve their goals, including Fortune 500 companies.
Responsibilities
- Support a data migration for an ERP change, specifically between Netsuite and SAP
- Lead the design and orchestration of modularized, automated, event-driven data engineering pipelines and data modelling approaches
- Build in quality by design into data engineering practices, enabling a scalable and flexible data architecture and feature-rich dataset to support the wider Data function and the entire business
- Implement modern code development and data engineering orchestration strategies to target and streamline data engineering processes
- Embed new data techniques into the business through coaching, training, and providing experiment design oversight to more junior data engineers
- Collaborate with third-party partners and software providers to improve and/or implement new data solutions and processes
- Act as the gatekeeper for customer data, ensuring alignment to data privacy standards in collaboration with Data Governance
Accountable for
- Supporting a system-to-system data migration
- Driving the adoption of DevOps and modern code development practices across the Data function
- Collaborating with Quality and Software Engineering and System teams to reduce technical debt and increase cross-functional visibility
- Ensuring that data engineering processes and pipelines are resilient and future-proof
- Developing strong knowledge of all data sources and maintaining relationships with data users/processors across the company
- Mentoring and supporting junior data engineering colleagues
Essential skills and experience
- Extensive expertise in RDBMS, Python, Hadoop, SQL and PySpark
- GCP experience, including Dataproc and Dataflow
- ERP knowledge, ideally Netsuite and SAP
- System-to-system data migration experience
- Hands-on experience in modern code development practices (Infrastructure-as-Code) and data engineering in Google Cloud
- Experience in ETL/ELT technical design, automated testing of engineering pipelines, quality assurance and documentation
- Proven experience in data warehousing, data wrangling and data modelling approaches
- Experience coaching junior data engineering team members
- Experience collaborating with System, Quality Engineering and Software Engineering teams
- Strong critical thinking, communication, problem-solving, and stakeholder management skills
- Ability to deliver under pressure and meet deadlines
- Experience working in an e-commerce/retail market is beneficial
Preferred skills and experience
- Willingness to learn new tools and techniques and stay up to date with latest practices
- Ability to align work with business/functional strategies and communicate dependencies clearly
- Drive the adoption of best practices in data engineering and coaching within the team
- Positive attitude toward change and resilience in a fast-paced environment
- Confidence to challenge and to be challenged
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Engineering and Information Technology
Industries
- IT Services and IT Consulting and Retail
Referrals increase your chances of interviewing at RE Partners.
Senior Data Engineer with SAP experience employer: RE Partners
At RE Partners, we pride ourselves on being a dynamic and innovative technology consultancy that values its employees as much as its clients. Our collaborative work culture fosters continuous learning and growth, providing ample opportunities for professional development, especially for those in data engineering roles. Located in a vibrant area, we offer a unique blend of challenging projects with Fortune 500 companies and a supportive environment that encourages mentorship and the adoption of cutting-edge practices.
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We think you need these skills to ace Senior Data Engineer with SAP experience
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
