Senior Data Engineer

Madeira, founded in 2007, develops and provides premium data solutions. We specialize in Microsoft data platforms and data-related technologies, such as SQL Server, Azure SQL, Azure Databricks, and Power BI.

Backed by many years of experience and armed with deep technological knowledge, we deliver fast and durable results to our customers.

We are proud to recruit only the best and most experienced data professionals, and we are committed to their full professional training.

Our data super-heroes hold the highest industry awards and certifications, such as MVP (Most Valuable Professional) and MCSE (Microsoft Certified Solution Expert).

Thanks to our strong partnership with Microsoft and DataBricks we have access to the product teams and internal resources. This allows us to solve even the toughest challenges for our customers.

We are a family-like company, and we enjoy working and learning together. We strive to build a culture of transparency, life balance, professional advancement, and high service standards, for our customers and ourselves. Our approach with our customers is to become their partners, to understand their business needs, and to work together to achieve their business goals.

We are seeking a highly experienced Data Engineer to join our team in Israel.

As a member of our family, you will work on various Microsoft Data Platform projects, providing quality solutions and services to our customers.

Responsibilities

• Provide a high level of service and ensure customer satisfaction.
• Collaborate with other departments to achieve business goals Share knowledge with the team and the community.
• Participate in business development and product development by identifying opportunities to expand our service offerings and provide innovative solutions.
• Participate in data analytics and other data engineering projects.
• Expand and optimize data pipelines for our customer's architecture.

To be successful in this role, you should have:

• At least 5 years of experience in data engineering or a similar role.
• Proficiency in SQL and Python - Must.
• At least 3 years of experience with Microsoft data platform tools and services, such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, etc \ other cloud provider's technologies - Must.
• Experience with data modeling, data quality, data governance, and data security best practices.
• Experience with agile development methodologies and DevOps practices - Big advantage.
• A strong dedication to providing exceptional service.
• A passion for learning new technologies and staying updated with the latest trends in data engineering.
• Ability to work independently and as part of a team.
• Proven knowledge in DWH\datalake.
• Expert with BI tools and analytics concepts - Must.
• A passionate about the community and about sharing knowledge. - Big advantage.