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As a Data Solutions Analyst , you will be responsible for designing, developing, and maintaining data solutions built on modern cloud platforms.
This key role involves working closely with customers and business stakeholders to deliver scalable, automated, and high-performing data pipelines.
You will actively contribute to the entire data engineering lifecycle, leveraging your expertise in dbt , Snowflake , and Azure Data Services to build impactful data ecosystems.
We are looking for a data professional who can jump into projects right away, proactive, detail-oriented, and passionate about delivering high-quality results.
Key technologies
- dbt
- Snowflake
- SQL
- Python
- CI / CD
- Azure
- Data Services
- Databricks
Required qualifications
3+ years of experience in data engineering, analytics engineering, or similar rolesStrong hands‑on experience in dbt (certification preferred or willingness to obtain)Proven experience with Snowflake (certification a plus or willingness to obtain)Solid understanding of ETL / ELT pipelines, data modeling, and integration of various structured and unstructured data sourcesVery good coding skills and best practices in SQL and PythonConceptual and technical knowledge of CI / CD pipelines, automation, and technical operationsExperience in Azure Data Services and DatabricksFluent English (both written and spoken)Strong communication skills and experience working directly with customers and business stakeholdersHands‑on approach and willingness to join an ongoing project immediatelyNice to have
Experience with Vertica, AWS EMS, or other cloud data technologiesKnowledge of Lakehouse architectures and automation frameworksFamiliarity with Docker, AKS, or similar containerization toolsPassion for continuous learning and obtaining new certificationsKnowledge on AWS environmentSoft skills
Analytical Thinking : ability to interpret data, identify trends, and provide actionable insights to drive business decisionsProblem‑Solving : proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracyEffective Communication : ability to explain technical concepts to non‑technical stakeholders clearly and concisely, fostering understanding and collaborationAttention to Detail : meticulous in data validation, report generation, and ensuring data quality across BI platformsTeam Collaboration : strong interpersonal skills to work effectively in cross‑functional teams, coordinating with IT, business analysts, and other stakeholdersAdaptability and Continuous Learning : open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needsWhat you will do
Design and build cloud-based data pipelines and architectures using dbt and SnowflakeDevelop and maintain ETL / ELT processes and data transformationsIntegrate data from various structured and unstructured sourcesImplement automation for data workflows and support CI / CD processesCollaborate closely with business stakeholders to translate requirements into data solutionsMonitor, troubleshoot, and optimize performance and cost of data systemsSupport deployment of analytics and machine learning solutions on cloud platformsDocument processes, infrastructure, and best practices for scalability and maintainabilityStay up-to-date with emerging data and cloud technologiesOur benefits
Initial Screening : If you meet our requirements, our recruiter will reach out to you for a chat about your motivations and expectations.Technical Interview : Next, you'll be invited to showcase your skills in an interview with one of our technical experts or team members.Final Interview : Finally, you'll have the opportunity to meet your future Team Lead.Location : Warsaw, Mazowieckie, Poland.
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Information Technology
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