At a Glance
- Tasks: Join our team as an SAP Data Engineer and work on exciting data projects.
- Company: Dynamic client in Milton Keynes with a focus on innovation.
- Benefits: Flexible work schedule with 3 days on-site and 2 days remote.
- Other info: Inclusive environment welcoming diverse applicants and offering career growth.
- Why this job: Enhance your skills in SAP Data Services and make a real impact.
- Qualifications: Strong experience in SAP Data Services, Business Objects, and PL/SQL required.
The predicted salary is between 50000 - 65000 £ per year.
We have a new requirement for an SAP Data Engineer to work for a client of ours in Milton Keynes. The role requires 3 days on-site in MK and 2 days working from home. This role is Inside IR35.
We are looking for strong Data Engineers with expertise in:
- Essential (strong hands-on): SAP Data Services, SAP Business Objects, PL/SQL, Data Modelling, ETL/ELT Performance tuning/optimisation
- Desirable: Informatica IDMC Data Integration (hands-on), Tableau
- Nice to have: Python, Power BI, ML/AI knowledge
We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
SAP Data Engineer - Milton Keynes (3 Days) employer: LA International
Join a forward-thinking company in Milton Keynes that values innovation and collaboration, offering a flexible work environment with 3 days on-site and 2 days remote. We prioritise employee growth through continuous learning opportunities and a supportive culture that embraces diversity and inclusion, making it an ideal place for skilled SAP Data Engineers to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land SAP Data Engineer - Milton Keynes (3 Days)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LA International!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like SAP Data Engineer - Milton Keynes (3 Days) at LA International.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LA International.
✨Apply Directly through Our Website
When you find a suitable opening like SAP Data Engineer - Milton Keynes (3 Days) at LA International, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace SAP Data Engineer - Milton Keynes (3 Days)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LA International, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LA International. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LA International
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LA International!
✨Prepare for Case Studies
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.
