5 дней назад
Lead Data Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Azure): Designing and evolving a cloud-based Azure data platform with an accent on scalable pipelines, enterprise data modelling, and AI-ready data solutions. Focus on building streaming workflows with PySpark and Databricks, implementing governance and CI/CD, and leading engineers to deliver reliable data services aligned with commercial priorities.
Location: On-site at Head Office in Enderby, Leicestershire
Company
is an eCommerce and retail business developing data capabilities for analytics, reporting, machine learning, and generative AI.
What you will do
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Azure Data Lake Storage, PySpark, and SQL.
- Design and evolve enterprise data models that support analytics, machine learning, generative AI, and advanced analytics.
- Implement data quality, security, governance, monitoring, and operational best practices.
- Build streaming data solutions and Delta Live Tables with PySpark and Databricks.
- Develop CI/CD pipelines and integrate third-party systems and APIs for reliable data ingestion.
- Mentor junior engineers, collaborate with stakeholders, and lead technical decisions focused on performance, reliability, scalability, and business value.
Requirements
- Strong Python, PySpark, and SQL skills with extensive experience building and optimising large-scale data pipelines.
- Hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Delta Lake.
- Experience with relational and NoSQL databases, including Cosmos DB, plus streaming pipelines and Delta Live Tables.
- Strong knowledge of modern data modelling, data governance, data quality, security, and operational practices.
- Experience with Azure DevOps, Git, CI/CD, third-party APIs, and external data sources.
- Strong problem-solving, communication, stakeholder management, commercial awareness, and technical leadership skills.
Nice to have
- Knowledge of machine learning, MLOps, and AI data products.
- Experience preparing data for large language models and retrieval-augmented generation solutions.
- Experience with AWS or GCP and enterprise data governance frameworks.
Culture & Benefits
- Company performance-based bonus and Sharesave scheme.
- Employee discounts across and partner brands.
- On-site nursery, parking, restaurants, and access to digital GP and wellbeing services.
- Financial wellbeing support, apprenticeship opportunities, support networks, and discounted gym memberships.
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