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The Senior Data Platform Engineer will design and oversee data pipelines in Databricks on AWS, manage integrations with SaaS platforms and implement robust data quality and observability frameworks. This role ensures reliable, high-performance data delivery for enterprise analytics and AI workloads.
Purpose:
As a Senior Data Platform Engineer, your primary focus will be designing and delivering scalable, reliable data ingestion and transformation pipelines that power our analytics, reporting and AI use cases.
You will play a key role in turning raw, complex data from multiple systems into high-quality, governed, analytics-ready datasets using Databricks and modern Lakehouse practices.
This role sits within our broader Data, Analytics & AI team, where responsibilities are shared across specialized focus areas. While other team members lead platform architecture, cloud infrastructure and visualization, your core contributions will be in pipeline engineering and data transformation, the foundation that everything else relies on.
Growth & Collaboration:
While this role is not primarily responsible for platform engineering or dashboard development, experience in these areas is highly valued and will help you collaborate effectively across the team.
If you’re interested in expanding your skills into these areas, you will have opportunities to learn, contribute and be mentored as part of a collaborative, cross-functional team.
Data Ingestion & Integration: hands-on experience building robust ingestion pipelines using tools and patterns such as Databricks Auto Loader, Lakeflow Connectors, Fivetran and/or custom API / file-based integrations.
Core Data Engineering: strong development experience using SQL, Python and Apache Spark (PySpark) for large-scale data processing.
Data Pipeline Orchestration: proven experience developing and operating data pipelines using Databricks Workflows & Jobs, Delta Live Tables (DLT) and/or Lakeflow Declarative Pipelines.
Incremental Processing & Data Modelling: deep understating of incremental data loading, including Change Data Capture (CDC), MERGE operations and Slowly Changing Dimensions (SCD) in a Lakehouse environment.
Data Transformation & Lakehouse Design: experience in designing and implementing Medallion Architecture (bronze, silver and gold) using Delta Lake.
Data Quality, Test and Observability: experience implementing data quality checks with tools and frameworks such as DLT expectations, Great Expectations or similar, including pipeline testing and monitoring.
Data Governance & Lineage: hands-on experience with data cataloguing, lineage and metadata management within Unity Catalog to support governance, auditing and troubleshooting.
Performance Optimization: experience tuning Spark and Databricks workloads, including partitioning strategies, file sizing, query optimization and efficient use of Delta Lake features.
Production Engineering Practices: experience working with code versioning (Git), peer review and promoting pipelines through development, test and production environments.
Security & Access Control Awareness: Understanding of data access control, sensitive data handling and working with Unity Catalog in the context of governed environments.
Stakeholder & Team Collaboration: strong communication and analytical skills working with business and technical stakeholders to gather requirements, explain data concepts and support downstream users such as analysts and dashboard developers.
Experience with Amazon Web Services (AWS).
Understanding of DevOps best-practices and solutions such as: Infrastructure-as-code (Terraform); Databricks Asset Bundles; CI/CD pipelines (Jenkins).
Familiarity with data warehousing and dimensional modelling methodologies (e.g. Kimball, facts & dimensions, star schemas, data marts).
Basic understanding of AI & ML, including preparation of structured and unstructured data for ML use cases and AI agents.
Nuix is an equal opportunities employer. Don’t let imposter syndrome hold you back! We welcome all applications and are a flexible employer.
We strive to make any required adjustments where possible to make the process fair and equitable for everyone. If you need any accommodations throughout the interview process, please note this in your job application.
Nuix is on an incredible journey of transformation, aligning our strengths with our ambitions to pursue greater opportunities. As we expand our global team and extend our skills and expertise, we are unified as one Nuix team guided by our shared values.
Finding Truth in a Digital World.
Nuix creates innovative software that empowers organizations to simply and quickly find the truth from any data in a digital world. We are a passionate and talented team, delighting our customers with software that transforms data into actionable intelligence.
We believe in these principles and seek to weave them into the fabric of our daily work at Nuix. In doing so, we co-create a dynamic and purposeful company culture that we can be proud of and want to belong to.
Nuix is an Equal Opportunity Employer
Love the role, but not the right fit for you? Know someone that might be awesome for this role?
We're always looking for talented people who want to make a real impact. If you refer someone and we successfully hire them, you'll receive a $1,000 gift card.
Send referrals to [email protected] or message us on LinkedIn. T's & C's apply.
To all recruitment agencies: Nuix does not accept agency CV's unless we have an existing agreement. Please do not forward CV's to us, or our Nuix employees directly. Nuix is not responsible for any fees related to unsolicited resumes, or where there is not an agreement in place.
