hackajob is partnering with Freshfields to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Are you passionate about building modern, scalable data platforms? Do you thrive in fast-paced environments where innovation meets impact? Join our global Data & Analytics team and help shape the future of enterprise data infrastructure.
About the Role
As a Senior Engineer – Data Platforms, you’ll design, build, and optimize cloud-native data ecosystems that power analytics, governance, and business intelligence across the firm. You’ll work with cutting-edge technologies like Azure Synapse, Databricks, Python, PySpark, and Collibra to deliver secure, high-performance solutions.
What You’ll Do
Engineer and optimize modern data platforms using Azure and Databricks
Build robust data pipelines with Python and PySpark
Automate deployments and infrastructure with DevOps and CI/CD
Implement access controls and data protection policies
Integrate governance tools like Collibra for metadata and lineage tracking
Collaborate with cross-functional teams to enable data-driven decision-making
What You’ll Bring
Proven experience in cloud-based data engineering (Azure, Databricks)
Strong Python/PySpark skills and DevOps automation experience
Familiarity with Kubernetes, Kafka/Event Hub, and AI/ML platform integration
Certifications in Azure, Databricks, or data governance tools (a plus)
A collaborative mindset and a passion for continuous improvement
What We Offer
A chance to work on enterprise-scale, high-impact projects
Professional development through certifications, training, and mentorship
A supportive, inclusive culture that values diverse perspectives
Flexible working options and a strong focus on wellbeing
Opportunities to shape the future of data strategy in a global firm
hackajob is partnering with Freshfields to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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