Must have

• Azure

• Data management

• Databricks

• Data Lake

• SQL

• Python

• DevOps

• GitHub

• English (C1)

• Polish

Nice to have

• Infrastructure as a Code

• Terraform

• ARM

• Bicep

Requirements description

What you will need:

• 4+ years of experience in Azure and 5+ of industrial experience in the domain of large-scale data management, visualization and analytics;
• Hands-on knowledge of the following data services and technologies in Azure (for example Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, Azure Data Explorer);
• Good understanding of Azure as a platform;
• Experience with analytics, databases, data systems and working directly with clients;
• Good knowledge of SQL and Python;
• Azure DevOps/GitHub at least intermediate level;
• Ability to work in small, highly technical groups;
• Very good knowledge of English (and Polish) with the ability to speak but also explain and simplify technical topics for the business;
• Experience working on projects for international clients;
• Proactive approach and goal-oriented, problem-solving skills.

Nice to have:

• Knowledge of Infrastructure as a Code principles (Terraform or Azure ARM or Bicep);
• Willingness to show up at the Warsaw office as needed (customer visits / workshops / integrations / important project periods requiring f2f teamwork).

Offer description

C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. 🌍

We are looking for an experienced Senior Azure Data Engineer, who will support our global customers mainly in the pharmaceutical and FMCG industry in building innovative big data products and services.

Bring your expertise in Azure and big data engineering to a role where you’ll help create innovative products and services used around the world!

Your responsibilities

1. Working to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization;
2. Creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs;
3. Ingest data sources into data management platforms;
4. Structure data into a scalable and easily understood architecture;
5. Implement/build methodologies as well as (understand how to) scale them together with the businesses;
6. Analyzing, maintaining and optimizing performance of existing solutions;

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