Data Engineer

Jacobs Engineering Group Inc.; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work model

Flexible hours

Lux Med medical care

Multisport card

Car/bike park sharing

Global projects

Diverse employee networks

Learning platforms

Job summary

Jacobs is seeking Data Engineers to join our Digital & Data Hub and deliver modern cloud-based data solutions for Jacobs and PA Consulting engagements. You will work across Azure data platforms, with Microsoft Fabric and Databricks at the core.

You will collaborate with architects, analysts and engineers, apply data quality and governance practices, and help translate business needs into scalable data solutions for diverse clients in a consulting setting.

Qualifications

• 3+ years in data engineering or related role.
• Hands-on Databricks experience mandatory.
• Strong Azure data services experience including Data Lake.
• Experience with Microsoft Fabric and data engineering features.
• Strong SQL, Python, PySpark or equivalent.
• Understanding of ETL/ELT, data quality and governance.
• Able to work with clients in a consulting context and communicate in English.

Responsibilities

• Design, build and optimise scalable data platforms and pipelines using Azure services, Microsoft Fabric and Databricks.
• Develop robust batch and near-real-time data ingestion and transformation processes across Azure Data Lake.
• Use Databricks, Delta Lake and Apache Spark to process and manage large datasets.
• Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers.
• Apply engineering practices for data quality, testing, monitoring, security and cost optimisation.
• Work with client stakeholders to translate business needs into data solutions.
• Contribute to data architecture, modelling, integration and technical design decisions.
• Collaborate with solution architects, analysts, software engineers, AI specialists and delivery leads.
• Prepare clear technical documentation and support knowledge transfer.

Skills

Databricks

Azure Data Services

Python

SQL

PySpark

Data modelling

ETL/ELT

Data quality

Client communication

English

Tools

Azure Data Factory

Power BI

Git

Docker

Job description

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

We are looking for Data Engineers to join our Digital & Data Hub and support delivery of modern, cloud-based data solutions for Jacobs and PA Consulting engagements. You will work across Azure data platforms, with Microsoft Fabric and Databricks at the core, helping clients turn complex data into reliable, scalable and actionable solutions.

Responsibilities

• Design, build and optimise scalable data platforms and pipelines using Azure services, Microsoft Fabric and Databricks.
• Develop robust batch and near-real-time data ingestion and transformation processes across Azure Data Lake and related services.
• Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets.
• Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate.
• Apply strong engineering practices for data quality, testing, monitoring, performance, security and cost optimisation.
• Work closely with client stakeholders to understand requirements, explain technical options and translate business needs into deliverable data solutions.
• Contribute to data architecture, modelling, integration and technical design decisions.
• Collaborate with solution architects, analysts, software engineers, AI specialists and delivery leads in consulting project teams.
• Prepare clear technical documentation and support knowledge transfer to clients and project teams.

Qualifications

• At least 3 years of commercial experience in data engineering or a related role.
• Hands-on commercial experience with Databricks – this is a mandatory requirement.
• Strong experience with Microsoft Azure data services, including Azure Data Lake and cloud-based data integration.
• Experience with Microsoft Fabric and its data engineering capabilities.
• Strong SQL skills and practical experience with Python, PySpark or equivalent.
• Understanding of data modelling, ETL/ELT patterns, data quality and data governance.
• Ability to work directly with clients in a consulting environment and communicate technical topics clearly in English.
• Ability to work effectively in distributed, multicultural project teams.

Nice to have

• Experience with Azure Data Factory, Synapse Analytics, Azure Functions or other Azure data services.
• Experience with Power BI or semantic modelling.
• Experience delivering data warehouses, lakehouses, chatbots or AI-enabled data solutions.
• Knowledge of CI/CD, Git, Docker or infrastructure-as-code practices.
• Experience with regulated, public-sector, utilities, financial-services or other complex client environments.
• Relevant Microsoft or Databricks certifications.

We offer

• Rewarding employment - full-time employment with a salary that matches your qualifications
• Hybrid work model - enjoy the flexibility of working mostly from home
• Flexible hours - start your day anytime between 7:30 and 10:00 AM
• Comprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system
• Global projects - engage in exciting international projects
• Inclusive networks - join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
• Continuous learning - participate in our Graduate Development Program, Learners' Community, and self-learning platforms
• Language courses - enhance your skills with courses in English, German, and Polish

We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs. As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team [e-mail]