Data Engineer - Data Insights & AI

Data Engineer

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.

We are building a Digital and Data capability, working to apply digital expertise to some of the most ambitious urban and infrastructure developments around the world. In Digital and Data we work with clients to establish their digital infrastructure needs, then develop place-based digital strategies by exploring the assets required and benefits they can bring key stakeholders. We support the design, deployment, cybersecurity and operation of networks, Smart City platforms and operational technology. In this emerging business area, we work with cities, local authorities and developer clients, leading telecom operators and investors, manufacturing clients, IoT providers and development owners.

About the opportunity:

We are seeking a skilled and detail-oriented Data Engineer to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. You will play a key role in transforming raw data into actionable insights using modern data engineering practices and tools like Fabric and Power BI.

Key Responsibilities:

1. Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and integration.
2. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
3. Optimize data workflows and ensure data quality, consistency, and reliability across systems.
4. Develop and maintain data models and dashboards using Power BI to support business decision-making.
5. Implement data governance, security, and compliance best practices.
6. Monitor and troubleshoot data pipeline performance and resolve data-related issues.
7. Document data processes, architecture, and workflows.

Here's what you'll need:

• Data Engineering: Proficiency in SQL, Python, or Scala for data manipulation and pipeline development.
• Data Analytics: Ability to analyze large datasets and derive meaningful insights; familiarity with statistical methods and data profiling.
• Power BI: Hands-on experience in building interactive dashboards, data models, and reports using Power BI.
• Data Transformation: Strong experience with ETL/ELT tools and frameworks (e.g., Azure Data Factory, Azure Synapse, Apache).

Preferred Qualifications:

• Experience with cloud platforms (Fabric, Azure, Palantir Foundry).
• Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

At Jacobs, from our inclusive employee networks to our positive mental health champions—we are committed to fostering a culture of care where you can truly be yourself. Joining Jacobs connects you locally and globally, leveraging our diverse perspectives and unique backgrounds to power our collective strength. We collaborate and share to ensure mutual success. Safety, flexibility, and professional growth remain paramount in our workplace culture. We provide flexible working arrangements, benefits, and opportunities to make a positive impact through global giving and volunteering programmes. Jacobs offers you the support and resources to maximise your potential and help clients worldwide create a better future.

Begin your Jacobs career in an environment that inspires and empowers you to deliver your best work—today, tomorrow, and beyond.