5 дней назад
Senior Data Engineer (Teradata)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Teradata): Building scalable data pipelines and modernizing a cloud-based data platform supporting millions of retail customers with an accent on enterprise data warehousing, reliability, and platform performance. Focus on designing Teradata-based solutions, improving deployment and observability, troubleshooting complex data issues, and mentoring engineers.
Location: Liverpool, England, United Kingdom; flexible hybrid working model.
Company
Digital retail business powering the Very shopping platform and customer experience for millions of customers.
What you will do
- Design and build scalable, reliable data pipelines for business decision-making.
- Shape and improve the cloud-based data platform, including performance, cost, and usability.
- Own data solutions from design through production, support, monitoring, and continuous improvement.
- Troubleshoot complex data issues and improve the stability and observability of data products.
- Raise engineering standards through code reviews, reusable patterns, and best practices.
- Collaborate with product, platform, and engineering teams while coaching and mentoring engineers.
Requirements
- Strong experience designing and delivering production-grade data solutions.
- Experience developing and maintaining Teradata-based data solutions for enterprise-scale data warehousing and analytics.
- Proficiency with Teradata utilities including BTEQ, Fast Load, Multi Load, and TPT, plus experience with Viewpoint, TD Stats, and TDWM.
- Strong knowledge of data warehousing, ETL, large-scale data platforms, data lakes, and Lakehouse concepts.
- Experience with cloud technologies; AWS experience is preferred.
- Solid coding skills in Python, SQL, Java, or Scala, with experience across the full delivery lifecycle.
Culture & Benefits
- Flexible hybrid working model and inclusive working environment.
- £1,000 flexible benefits allowance.
- 30 days of holiday plus bank holidays.
- LinkedIn Learning access and performance-related bonus potential.
- Up to 25% discount on Very.co.uk and matched pension contributions up to 6%.
Hiring process
- Initial 30-minute Teams call, likely with the Data Engineering Manager.
- Take-home task followed by a one-hour technical interview discussing the task.
- Successful candidates undergo credit, CIFAS, right-to-work, and, where required, DBS checks.
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