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- Tasks: Design and optimise data pipelines for reporting and analytics using SAP, Excel, and cloud platforms.
- Company: Join a forward-thinking company enhancing its data capabilities in Lincolnshire.
- Benefits: Competitive daily rate, flexible onsite work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and best practices.
- Why this job: Make a real impact by transforming data into valuable insights for decision-making.
- Qualifications: Experience in data engineering, strong SQL skills, and familiarity with Power BI.
Come and work with us as we continue to build and enhance our data capability, supporting the delivery of high-quality, reliable data solutions across the business.
We are currently seeking an experienced Data Engineer to design, build and optimise scalable data pipelines and datasets that support reporting, analytics and business decision-making. This role will play a key part in transforming data from core systems including SAP, Excel and cloud platforms into structured, trusted and accessible outputs, particularly for use in Power BI.
This is a hands-on role, well suited to someone who can combine strong technical data engineering skills with a practical understanding of business reporting needs.
Key Responsibilities- Design, build and maintain robust data pipelines to ingest and transform data from SAP, Excel and cloud-based systems
- Develop and manage structured datasets for reporting, analytics and business intelligence
- Write and optimise SQL queries, views and transformations to support downstream reporting
- Support the design of logical data models, ontologies and business data definitions
- Ensure data quality, integrity and consistency across systems and reporting outputs
- Collaborate with stakeholders to translate business requirements into scalable data solutions
- Prepare clean, reliable datasets for Power BI dashboards and reporting
- Troubleshoot data issues and improve reliability and accuracy of outputs
- Document data flows, transformations and structures
- Contribute to data standards, governance and best practice
- Proven experience in a Data Engineer or similar role
- Strong SQL skills with the ability to write efficient and maintainable queries
- Solid understanding of data modelling, structures and transformation logic
- Experience working with SAP data for reporting or analytics
- Strong experience handling and structuring Excel-based data
- Experience working with cloud-based data environments
- Experience preparing data for Power BI or similar BI tools
- Understanding of data quality, governance and data management principles
- Strong problem-solving and analytical skills
- Ability to work with both technical and non-technical stakeholders
If this sounds like you, please get in touch!
Data Engineer in Lincoln employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Lincoln
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, SQL queries, and any Power BI dashboards you've built. This will give potential employers a tangible sense of what you can do.
✨Tip Number 3
Tailor your approach! When reaching out to companies, mention specific projects or technologies they use that align with your experience. This shows you're genuinely interested and have done your homework.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the crowd.
We think you need these skills to ace Data Engineer in Lincoln
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, especially with SAP and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Mention specific experiences that relate to designing data pipelines and working with Power BI.
Showcase Your Technical Skills: We love seeing strong technical skills in applications. Be sure to mention your experience with data modelling, cloud environments, and any tools you've used for data transformation. This will help us understand your capabilities right away!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering concepts, especially around SQL, data modelling, and SAP. Be ready to discuss specific projects where you've designed and built data pipelines, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Think about times when you improved data quality or optimised queries. This will demonstrate your analytical skills and ability to troubleshoot effectively.
✨Understand Business Needs
Since this role involves collaborating with stakeholders, be prepared to discuss how you've translated business requirements into data solutions before. Highlight your experience in preparing datasets for reporting and analytics, particularly for tools like Power BI.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current data challenges or how they measure success in their data projects. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.