Azure Data Engineer - freelance
Primary stack
Nice to have's
Job description
About the Position
Azure Data Engineer - Freelance
Poland
CC Data Engineering & Management – Data E&M - PP Azure /
Freelance /
Remote
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.
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.
Responsibilities
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. More information about how your data is processed you can find here - Candidate Privacy Notice, Lingaro
About the Company
Lingaro is an ethical business committed to equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth and are dedicated to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
© Lingaro. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Consumer Goods,Healthcare and Biotech
About the Company Lingaro is a global end-to-end data and AI partner to leading brands and enterprises. The company specializes in transforming data into opportunities that drive business outcomes. With deep technical expertise and business knowledge, Lingaro bridges technology, commercial insight, and cross-industry expertise. The company leverages partnerships with leading hyperscalers to deliver data and AI solutions for real business problems. Products, Services & Tech Stack Core Solutions Marketing & Commercial Analytics Intelligent & Resilient Supply Chain Sustainability & Compliance AI & GenAI Data Consulting Technology Consulting & Advisory Design Adoption Technologies & Frameworks No specific technologies or frameworks mentioned in the text. Project Scope & Target Clients Client Base Global CPG brands Healthcare and Biotech Consumer Goods Engineering Scale 20+ Tech partnerships 1,800+ Employees worldwide 18+ Years in data & analytics
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