Remote opportunity at
gravity9Senior Data Engineer (6-month contract)
gravity9, a boutique IT consulting firm headquartered in the United Kingdom with operational offices in Poland, Canada, and the United States, is looking for a Senior…
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About This Role
gravity9, a boutique IT consulting firm headquartered in the United Kingdom with operational offices in Poland, Canada, and the United States, is looking for a Senior Data Engineer for a 6-month contract role. This remote position specifically requires the applicant to reside physically in Poland. The company specializes in experience design, product management, and engineering, partnering with clients to solve complex business challenges through flexible technical solutions. In this capacity,…
Job Description
gravity9, a boutique IT consulting firm headquartered in the United Kingdom with operational offices in Poland, Canada, and the United States, is looking for a Senior Data Engineer for a 6-month contract role. This remote position specifically requires the applicant to reside physically in Poland. The company specializes in experience design, product management, and engineering, partnering with clients to solve complex business challenges through flexible technical solutions.
In this capacity, the engineer will join the client's Digital Practice within the Product Development team to support digital transformation efforts. The work centers on building robust data platforms and AI-enabled solutions on Microsoft Azure that drive autonomous execution, integrated operations, and informed decision-making. Operating inside a flat, entrepreneurial organization, the professional will participate in Agile teams, guide technical direction, mentor colleagues, and contribute directly through hands-on coding. Ideal candidates are confident, passionate, outcome-oriented leaders with strong communication skills who can challenge existing concepts to elevate business outcomes.
Responsibilities
- Deliver the committed backlog according to acceptance criteria within Agile teams
- Build, design, and operate orchestration and ingestion pipelines utilizing Azure Data Factory
- Create ETL and ELT processes in Azure Databricks via medallion architecture to supply trusted data for reporting, AI, and analytics
- Establish engineering standards, direct code reviews, and handle planning, estimating, testing, documentation, and deployments
- Contribute to data architecture decisions, encompassing semantic models, metric definitions, and data tailored for AI agents
- Implement data security, governance, and access controls adhering to client classification and residency mandates
- Leverage AI-assisted development utilities responsibly to boost delivery speed without sacrificing security or quality
- Report issues, open items, and progress updates to management and other stakeholders
- Keep up to date with relevant technological advancements
Requirements
- Possess at least 7 years of background in software development or data engineering
- Bring a minimum of 3 years of hands-on experience working with Spark or Azure Databricks alongside mentoring junior staff
- Demonstrate expert level proficiency in Python, PySpark, and SQL
- Have hands-on practice with Azure Data Factory, Azure SQL, Azure Data Lake Storage, and Azure Databricks including Unity Catalog, Workflows, and Delta Lake
- Understand data modeling across dimensional and lakehouse formats, plus integration via APIs, files, OData, and JDBC or ODBC
- Work with Azure AI services like Azure OpenAI and Azure AI Foundry while preparing data for AI agents
- Implement secure CI/CD and infrastructure-as-code such as Bicep, Terraform, or Databricks Asset Bundles across PROD, UAT, and DEV using GitHub or Azure DevOps with sound Git branching
- Apply AI-assisted development alongside critical judgement for reviewing generated code
- Maintain data privacy, security, testing, and quality within restricted or regulated data settings
- Design end-to-end data architectures and suggest new technologies and frameworks
- Execute Kanban and Agile delivery across interdisciplinary teams while building consensus among designers, engineers, data scientists, and subject matter experts
- Operate as a self-motivated organizer requiring minimal oversight
- Reside physically in Poland
Qualifications
- Earn a bachelor degree in a related field, engineering, or computer science, or possess equivalent experience and education
- Bring background in integrating enterprise systems such as document management, project management, or ERP platforms
- Familiarity with data governance and data management principles like master data, cataloguing, lineage, data quality, and stewardship using any supporting toolset
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this role?
This position is a 6-month contract.
Where is the job located and is it remote?
The role is fully remote, but physical residence in Poland is strictly required.
What experience level is required?
Candidates must have at least 7 years of experience in software development or data engineering, including 3 or more years of hands-on work with Spark or Azure Databricks.
What salary is offered for the Senior Data Engineer position?
The salary is not stated in the source posting.
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