At a Glance
- Tasks: Design and implement data solutions that drive business insights and support critical operations.
- Company: Join OrderYOYO, a leading player in the fintech and e-commerce space.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on innovation and excellence in data management.
- Why this job: Make a real impact by shaping data strategies and mentoring future tech leaders.
- Qualifications: 6+ years in data engineering with strong skills in SQL, Python, and Power BI.
The predicted salary is between 70000 - 90000 € per year.
At OrderYOYO, data powers executive reporting, payments, finance, merchant insights, product analytics, AI, and more. Responsibilities include:
- Establishing robust orchestration, monitoring, alerting, data-quality checks, and incident response.
- Designing high-quality Power BI semantic models, DAX measures, and reusable metric definitions for various reporting needs.
- Supporting CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns, and monitoring.
- Creating reliable ingestion and modelling patterns for acquired businesses to ensure future integrations are repeatable, auditable, and faster to execute.
- Setting data-engineering standards: definition of ready/done, code review, release discipline, documentation, runbooks, and platform change governance.
- Mentoring engineers and analysts and translating business-critical data needs into pragmatic technical delivery.
Must-have requirements:
- 6+ years in modern data warehousing, analytics engineering, or data platform engineering, ideally in a SaaS, marketplace, fintech, payments, e-commerce, or multi-region B2B2C environment.
- Strong Microsoft Fabric capability, or deep Azure Synapse / Databricks experience with the ability to specialise quickly in Fabric.
- Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building maintainable ELT/ETL pipelines and analytical data models.
- Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance, and capacity/cost awareness.
- Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control, and safe decommissioning.
- Experience operating production data systems: monitoring, alert design, incident triage, root-cause analysis, data-quality checks, lineage, and runbooks.
- Comfortable with Git-based data engineering workflows, pull requests, release discipline, and standards for notebooks, pipelines, and semantic model changes.
- Strong-to-have experience in payments, settlement, reconciliation, fees, chargebacks, merchant reporting, or finance-domain data.
- CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk, or similar platforms.
Senior Data Platform Engineer employer: OrderYOYO
At OrderYOYO, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through mentorship opportunities and the chance to work with cutting-edge technologies in a dynamic environment. Located in a vibrant area, we offer competitive benefits and a supportive atmosphere that empowers our team to excel in their roles and contribute meaningfully to our mission.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Power BI, SQL, or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data platform engineering questions. Be ready to discuss your experience with Azure Synapse, Databricks, and ELT/ETL pipelines. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data. Plus, it shows you're serious about joining our team at OrderYOYO.
We think you need these skills to ace Senior Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Platform Engineer role. Highlight your experience with data warehousing, analytics engineering, and any relevant tools like Microsoft Fabric or Azure Synapse. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built ELT/ETL pipelines or worked with Power BI and DAX. We love seeing real examples of your work, so don’t hold back on the details that show off your expertise!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication, so let’s keep it simple!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at OrderYOYO
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data warehousing and analytics engineering. Brush up on your SQL, Python, and Power BI skills, as these will likely come up during technical discussions. Be ready to showcase your experience with ELT/ETL pipelines and how you've tackled data quality checks in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've had to troubleshoot data issues or lead migrations from legacy systems. Highlight your approach to incident response and how you ensure data integrity. Companies love candidates who can think on their feet and provide practical solutions.
✨Demonstrate Leadership and Mentorship
Since the role involves mentoring engineers and analysts, be prepared to share examples of how you've guided others in previous roles. Talk about your experience in setting data-engineering standards and how you’ve contributed to team growth and knowledge sharing.
✨Understand the Business Context
Familiarise yourself with the business side of data, especially in the fintech and e-commerce sectors. Be ready to discuss how data impacts executive reporting and decision-making. Showing that you can translate technical needs into business value will set you apart from other candidates.
