At a Glance
- Tasks: Develop and support ETL solutions using SAP DS, Oracle SQL, and Informatica IDMC.
- Company: HelloKindred connects ambitious talent with flexible opportunities in tech and marketing.
- Benefits: Hybrid work setup, competitive pay, and a focus on career growth.
- Other info: Inclusive hiring practices and a commitment to making work accessible for all.
- Why this job: Join a dynamic team and make a real impact in data engineering.
- Qualifications: Strong experience in SAP DS, Oracle SQL, and data integration solutions required.
The predicted salary is between 45000 - 55000 £ per year.
Company Description
Who is Hello Kindred?
Hello Kindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.
Our vision is to make work accessible and people’s lives better.
We do this by disrupting traditional employment barriers – connecting ambitious talent to flexible opportunities with trusted brands.
Job Description
Anticipated Contract End Date/Length
December 31, 2026
Work Setup
Hybrid (2–3 days per week in office)
Clearance Required
- Eligibility for BPSS
- Our client in the Information Technology and Services industry is looking for a
Data Engineer with strong experience in SAP DS Data Services ETL, Oracle SQL and Informatica IDMC.
The role will focus on developing and supporting ETL solutions, working with Business Objects reports and applying strong analytical and communication skills when engaging with various stakeholders.
What you will do
- Develop SAP DS Data Services ETL solutions using Oracle SQL and Informatica IDMC.
- Write and optimise complex Oracle SQL queries to support data engineering and ETL requirements.
- Develop and maintain BI solutions using SAP BODS Data Services ETL.
- Support and work with Business Objects reports and associated data requirements.
- Apply Informatica IDMC to develop and support data integration and ETL solutions.
- Analyse data and technical requirements to identify appropriate solutions and improvements.
- Articulate technical information clearly to various stakeholders.
- Communicate effectively across technical and business stakeholders through strong verbal and written communication.
Qualifications
- Demonstrate very strong experience developing SAP DS Data Services ETL solutions.
- Possess advanced Oracle SQL skills, with significant experience writing complex queries.
- Bring strong experience with Informatica IDMC and data integration solutions.
- Show experience with SAP BODS Data Services ETL and Business Objects reports.
- Apply strong analytical skills when assessing data and technical requirements.
- Communicate complex information clearly and effectively to various stakeholders.
- Demonstrate excellent verbal and written communication skills.
- Meet the eligibility requirements for BPSS clearance.
- Accept PAYE employment through an Umbrella company.
- Additional Information
All your information will be kept confidential according to EEO guidelines.
Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.
Hello Kindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.
We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.
Hello Kindred is an equal opportunity employer.
We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.
Data Engineer in Milton Keynes employer: HelloKindred
HelloKindred is an exceptional employer that values innovation and collaboration, offering a dynamic work culture where employees can thrive. With a strong focus on professional development, team members have access to ongoing training and certification opportunities, ensuring they stay at the forefront of technology. The hybrid work model promotes a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment in the heart of the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Milton Keynes
✨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 HelloKindred!
✨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 Data Engineer at HelloKindred.
✨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 HelloKindred.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at HelloKindred, 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 Data Engineer in Milton Keynes
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 HelloKindred, 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 HelloKindred. 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 HelloKindred
✨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 HelloKindred!
✨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.
