At a Glance
- Tasks: Support data migration and transformation for a major Workday HCM implementation.
- Company: Join a dynamic team driving a large-scale HR transformation programme.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Exciting chance to work on large-scale transformations with cloud platforms.
- Why this job: Make a real impact on a significant data migration project with experienced teams.
- Qualifications: Strong Python, SQL, and ETL skills; experience in enterprise-scale data engineering.
The predicted salary is between 60000 - 80000 £ per year.
We're supporting a large-scale Workday HCM implementation and are looking for several experienced Data Engineers to join the programme immediately. This is a hands-on role working alongside senior stakeholders and delivery partners to support data migration, transformation and integration activities, helping ensure the successful delivery of a critical HR transformation programme.
What you'll be doing:
- Supporting data migration and transformation activities for a Workday HCM implementation
- Designing and building data pipelines and ETL processes
- Extracting, cleansing, transforming and loading data into Workday
- Working closely with business, HR and technology stakeholders to resolve data quality challenges
- Supporting data validation, reconciliation and testing activities
- Collaborating with implementation partners and programme teams to meet delivery milestones
- Helping establish robust migration and governance processes
What we're looking for:
- Strong Python development experience
- Proven Data Engineering experience on enterprise-scale programmes
- Deep SQL and relational database expertise
- Strong ETL development and data transformation experience
- Experience working on complex data migration programmes
- Strong stakeholder engagement and problem-solving skills
Desirable:
- Previous Workday implementation experience
- Experience supporting HR, HCM or workforce-related data migrations
- Exposure to large-scale transformation programmes
- Cloud platform experience (AWS, Azure or GCP)
Contract Details:
- ASAP start required
- Hybrid working (details to be confirmed)
Why Join?
This is an opportunity to join a significant Workday HCM transformation programme, working alongside experienced delivery teams on a large-scale data migration and modernisation initiative.
Senior Data Engineer (Python / ETL / SQL) employer: Synergy Solutions Limited
Join a dynamic team at the forefront of a large-scale Workday HCM implementation, where your expertise as a Senior Data Engineer will be valued and impactful. We foster a collaborative work culture that prioritises employee growth through hands-on experience with senior stakeholders and cutting-edge technology, all while offering flexible hybrid working arrangements. This role not only provides the chance to contribute to a critical HR transformation programme but also opens doors for professional development in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Python / ETL / SQL)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, ETL processes, and any data migration work you've done. This gives potential employers a tangible look at what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data transformation techniques. Be ready to discuss specific challenges you've faced in previous roles and how you tackled them. Real-world examples will make you stand out!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineer (Python / ETL / SQL)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, ETL processes, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Workday HCM implementation and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled data quality challenges in the past. We love seeing candidates who can think critically and work collaboratively with stakeholders to find solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity right away!
How to prepare for a job interview at Synergy Solutions Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and ETL processes. Be ready to discuss specific projects where you've designed data pipelines or tackled data quality issues. The more detailed examples you can provide, the better!
✨Understand the Workday Context
Familiarise yourself with Workday HCM and its data migration processes. If you have previous experience with Workday, be prepared to share insights on challenges faced and how you overcame them. This shows you're not just technically skilled but also understand the business side.
✨Engage with Stakeholders
Since this role involves working closely with various stakeholders, think of examples where you've successfully collaborated with business or HR teams. Highlight your problem-solving skills and how you’ve resolved data quality challenges in the past.
✨Show Your Adaptability
With hybrid working and a fast-paced environment, demonstrate your flexibility and ability to adapt to changing requirements. Share experiences where you've had to pivot quickly during a project and how you managed to keep everything on track.
