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Azure Data Engineer with Databricks - Freelancer (Part-time)

Data Engineer
Mid
Senior

Poland • Remote

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Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

 

Freelance Cooperation – What Does It Mean?

  • Open-ended freelance agreement. An active sole proprietorship (B2B) is required throughout the duration of the agreement.
  • Part-time engagement. Work up to 50% of full-time workload, depending on current project needs.
  • Flexibility that fits your schedule. We’ll reach out whenever a suitable project opportunity comes up. If you’re available and interested, you can choose to join the project. If the timing isn’t right, you’re always free to decline without terminating the agreement.
  • No need to worry about the equipment. Freelancers typically work using equipment provided by us. Depending on the project, you may receive access to a virtual machine instead.

 

We are seeking Azure Data Engineers experienced with Databricks. Ideal candidates will have hands-on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows.

 

Tasks:

 

  • Designing and implementing data processing systems on Azure platform. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.

  • Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.

  • Integrating and transforming data to ensure its compatibility with the target data model or format.

  • Experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)

  • Familiarity with partitioning, compression, optimization of data storage and retrieval.

  • Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.

  • Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.

  • Taking ownership and demonstrating responsibility throughout the solution delivery process, ensuring that all tasks are executed efficiently, effectively, and to the highest standard.

  • Ability to work under Agile methodologies.

 

Requirements:

 

  • Experience in Azure cloud-based infrastructure and Databricks implementation.

  • Experience with SQL.

  • Experience with Python, PySpark.

  • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders.

  • Working experience in Agile methodologies – supporting tools (JIRA, Azure DevOps).

  • English at least at B2 level, ideally C1.

Nice to have:

  • Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis.

 

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

What we offer:

 

  • Established global technology partner. Lingaro has been operating since 2008 and brings together 1,600+ professionals across 7 global locations.
  • Flexible collaboration model and working hours. Enjoy working from inspiring locations in line with our remote work policy.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.