Cloud Data Engineer

Description

The role sits in the cloud and digital team in Poland, which delivers cloud strategy, cloud migrations, data analytics and DevOps work for clients.

The team helps clients move to cloud infrastructure, build new business models and streamline their operations.

Responsibilities

• Build data platforms, including data warehouses and data lakes, using Azure Databricks, MS Fabric and Azure Data Factory for extraction, transformation and loading.
• Define how data flows from ingestion to the semantic layer, following a medallion architecture.
• Plan the migration of transactional and master data from legacy systems of record into new reference systems.
• Run data assessments with data modelers and analysts across several systems of record and data domains, then find and fix data quality issues.
• Work with senior client stakeholders and support senior data architects in gathering functional requirements for modern data architecture.
• Help data governance experts set data standards and policies, especially for master data management and data quality.

Requirements

• At least 3 years in data engineering. Other relevant experience, such as business intelligence or data science, can be considered alongside it.
• Hands-on use of data transformation tools such as Databricks, Snowflake, BigQuery or MS Fabric.
• Experience building data warehouses, data lakes and lakehouses with Azure Data Factory and Azure Synapse Analytics.
• Python for transformation scripts, including PySpark, and SQL for querying databases.
• Some experience with data engineering CI/CD and release management across Dev, QA and Production, using tools such as Azure DevOps and/or Jira.
• Business English at B2 level or above, with the confidence to write technical documents such as design documents with project manager support.
• Regular use of new technologies and AI-based tools in your work, such as task automation, information analysis and content creation.
• Cloud certifications in Azure, AWS or Google Cloud.
• Data governance certifications, for example DAMA.
• Evidence of training on online platforms such as Coursera, Udemy or Datacamp.
• Use of data modelling frameworks, including Kimball dimensional modelling, to design logical and physical data models.
• Interest in, and some experience of, testing Agentic AI to automate data extraction, transformation and loading, using services such as Azure Foundry.
• Proven data assessments across several data domains, including product and customer, and systems of record such as ERPs and CRMs.
• Work on data strategy and governance projects focused on data quality across key business functions.
• Familiarity with agile methods such as Scrum for delivering and scaling minimum viable products.
• Some exposure to machine learning and generative AI applied to business forecasting and demand planning.
• Experience supporting senior stakeholders, including chief data officers, in medium and large businesses in manufacturing, consumer goods and/or financial services.
• Would stand out: familiarity with data science and analytics use cases in consumer goods, retail, manufacturing and/or financial services.

Conditions

Hybrid working model.

Recruitment starts with a short HR screening call, followed by a technical interview and a cultural fit interview.

Benefits

• Flexible start to the day, workations and sabbatical leave.
• Full onboarding support, mentoring from experienced colleagues, training, workshops and conversations with a native speaker.
• Certification co-financed by the company.
• Medical care package including freedom of treatment, physiotherapy and discounts on dental care.
• Coaching, mindfulness, psychological support, webinars, workshops, and financial and legal counselling.
• An individual benefits package, for example a lunch pass, concierge service, pet veterinary package and massages, plus a cafeteria with vouchers and discounts on IT equipment and car purchases.
• 3 paid volunteering hours per month.
• An additional paid day off on your birthday.
• You can recommend friends to join the company.