At a Glance
- Tasks: Support data migration and transformation for a large-scale Workday HCM project.
- Company: Synergy Solutions Limited, a dynamic company in Greater London.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with senior stakeholders in a supportive environment.
- Why this job: Join a hands-on role and make a real impact on transformative projects.
- Qualifications: Strong Python skills and proven Data Engineering experience required.
The predicted salary is between 63000 - 77000 £ per year.
Synergy Solutions Limited in Greater London is looking for experienced Data Engineers to join their team immediately for a large-scale Workday HCM implementation.
In this hands-on role, you will support data migration, transformation, and integration activities.
The position offers hybrid working, and you will work closely with senior stakeholders to ensure the successful delivery of the transformation programme.
The ideal candidate will have strong Python skills, proven Data Engineering experience, and a deep expertise in SQL.
If you have a passion for problem-solving and stakeholder engagement, this opportunity is perfect for you.
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Senior Data Engineer – Workday HCM ETL & SQL (Hybrid) in London employer: Synergy Solutions Limited
At Synergy Solutions Limited, we pride ourselves on being an exceptional employer that champions diversity and inclusivity. Our unique benefits package, which includes unlimited holiday and generous parental leave, reflects our commitment to employee well-being and work-life balance. Located in a dynamic environment, we offer unparalleled opportunities for professional growth and the chance to make a meaningful impact in the realm of geopolitics and digital transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – Workday HCM ETL & SQL (Hybrid) in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Engineer – Workday HCM ETL & SQL (Hybrid) in London
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 Synergy Solutions Limited, 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 Synergy Solutions Limited. 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 Synergy Solutions Limited
✨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!
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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 Synergy Solutions Limited!
✨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.
