At a Glance
- Tasks: Design and develop robust ETL solutions for data integration projects.
- Company: Join a growing data and technology team in a dynamic environment.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Great opportunity to enhance your skills and advance your career.
- Why this job: Make an impact by working with cutting-edge technologies in a fast-paced Agile setting.
- Qualifications: Experience with SAP BODS, SQL, and Front End technologies like AngularJS or React.
The predicted salary is between 45000 - 60000 £ per year.
We are seeking an experienced SAP BODS Developer to join a growing data and technology team. This role will focus on designing, developing, and maintaining robust ETL solutions while supporting business-critical data integration initiatives. The successful candidate will have strong expertise in SAP BusinessObjects Data Services (BODS), SQL development, and modern Front End technologies, with the ability to work effectively in a fast-paced Agile environment.
Essential Skills Experience:
- Strong hands-on experience with SAP Business Objects Data Services (BODS).
- Proven experience analysing, designing, developing, testing, and implementing application enhancements.
- Strong SQL and SQL Scripting skills.
- Experience developing ETL solutions and working with technical ETL specifications.
- Knowledge of Front End development using AngularJS or React.
- Ability to learn new tools and technologies quickly.
- Experience working within Agile delivery teams.
- Strong organisational skills with the ability to manage multiple priorities in a fast-paced environment.
SAP BODS Developer employer: Vallum
Join a dynamic and innovative team in Leeds, where we prioritise employee growth and development. As an SAP BODS Developer, you'll benefit from a collaborative work culture that embraces Agile methodologies, offering you the chance to enhance your skills while contributing to impactful data integration projects. With flexible hybrid working options and a commitment to fostering talent, we provide a rewarding environment for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land SAP BODS Developer
✨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 Vallum!
✨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 BODS Developer at Vallum.
✨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 Vallum.
✨Apply Directly through Our Website
When you find a suitable opening like SAP BODS Developer at Vallum, 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 BODS Developer
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 Vallum, 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 Vallum. 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 Vallum
✨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 Vallum!
✨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.
