Azure data engineer

Ampstek; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

AmpsTek ищет инженера данных Azure в Амстердаме с опытом разработки конвейеров на Azure. Ваша задача — строить и поддерживать масштабируемые ETL/ELT пайплайны и работать с Delta Lake, ADLS Gen2, Databricks, Python, ADF и Azure DevOps.

Требуется опыт работы с клиентами, отличные коммуникативные навыки и способность работать напрямую с onsite/offshore командами. Требуется не менее 5 лет релевантного опыта.

Qualifications

• 5+ лет опыта в данных/инженерии
• Сильные навыки Azure Data Engineering: Databricks, Python, ADF, ADLS Gen2
• Опыт построения масштабируемых ETL/ELT пайплайнов, Delta Lake/Lakehouse
• CI/CD с Azure DevOps и способность работать с клиентами

Responsibilities

• Разрабатывать и поддерживать конвейеры данных на Azure
• Проектировать ETL/ELT пайплайны и оптимизировать производительность
• Работать с Delta Lake, ADLS Gen2 и Databricks
• Обеспечивать связь с клиентами и командой на месте/аутсорсинг

Skills

Azure Databricks

Python

SQL

CI/CD

Azure Data Factory

Delta Lake

ADLS Gen2

Data Lakehouse

Tools

Azure DevOps

Job description

Описание:

AmpsTek - a global technology leader since 2013 - is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact. With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed. Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results.

Задачи:

Strong hands-on experience in Azure Data Engineering and building scalable data pipelines.

Требования:

Mandatory minimum 5 years of relevant experience. Experienced Azure Data Engineer with strong hands-on expertise in Azure Databricks, Python, ADF, ADLS and SQL. Candidate should have experience building scalable ETL/ELT pipelines, Delta Lake/Lakehouse solutions, performance optimization, and CI/CD using Azure DevOps. Strong communication and client-facing skills are required. Strong expertise in Azure Databricks, Python Experience with Azure Data Factory (ADF) for ETL/ELT pipeline development and orchestration. Good knowledge of Azure Data Lake Storage (ADLS Gen2), Delta Lake and data lakehouse concepts. Strong SQL skills and experience handling large-scale structured/semi-structured data. Experience in data transformations, performance optimization, monitoring, and troubleshooting. Understanding of CI/CD and Azure DevOps for deploying data pipelines and Databricks workloads. Good communication skills with the ability to work directly with client and onsite/offshore teams.

Условия:

Employment Contract