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- 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.
- 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.
- Other info: Collaborative atmosphere with a focus on mentoring and adopting best practices in data engineering.
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
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Senior Data Engineer with SAP experience employer: RE Partners
Contact Detail:
RE Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer with SAP experience
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your expertise in RDBMS, Python, and data migration. This will give potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your problem-solving skills and how you've tackled challenges in past roles. Remember, they want to see how you think, so be ready to explain your thought process!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to ensure your application gets the attention it deserves. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Senior Data Engineer with SAP experience
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SAP, data migration, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used RDBMS, Python, or GCP in your previous roles. This helps us understand your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and why you’re excited about working with us at StudySmarter. Make it personal and let your personality come through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at RE Partners
✨Know Your Data Engineering Stuff
Make sure you brush up on your RDBMS, Python, SQL, and PySpark skills. Be ready to discuss specific projects where you've implemented data engineering solutions, especially in relation to SAP and Netsuite. This will show that you not only understand the theory but have practical experience too.
✨Show Off Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data migration or pipeline orchestration. Think about times when you had to collaborate with other teams or third-party partners to solve a problem. This will highlight your critical thinking and teamwork abilities.
✨Emphasise Your Mentoring Experience
Since this role involves supporting junior team members, be ready to talk about your mentoring experiences. Share how you've coached others in data engineering practices and how you’ve helped them grow. This shows you're not just a tech whiz but also a team player who values knowledge sharing.
✨Be Ready for Technical Questions
Expect some technical questions related to modern code development practices and data engineering strategies. Brush up on Infrastructure-as-Code concepts and be prepared to discuss how you've implemented these in past roles. This will demonstrate your readiness to drive the adoption of best practices in the team.
