Design, build, and maintain Databricks-based ETL/ELT pipelines and data models for HR analytics. Develop and optimize Power BI dashboards, write efficient SQL, ensure data quality, collaborate with HR stakeholders, troubleshoot issues, and document solutions to support People & Analytics reporting at enterprise scale.
This is a remote position.
Our client, a leading global mining group, is seeking an Intermediate Data Engineer with strong Power BI expertise to support its People & Analytics (HR) team. This is an exciting opportunity to work with enterprise-scale HR data, building modern data solutions and delivering actionable insights that drive strategic workforce decisions.
The successful candidate will have experience designing and maintaining data pipelines, transforming data for reporting and analytics, and developing interactive Power BI dashboards. You will collaborate with HR stakeholders and technical teams to ensure accurate, reliable, and meaningful people analytics.
- Design, develop, and maintain scalable data pipelines using Databricks.
- Extract, transform, and load (ETL/ELT) data from multiple enterprise data sources.
- Build and maintain interactive Power BI dashboards and reports for HR and People Analytics.
- Write efficient SQL queries for data extraction, transformation, and validation.
- Ensure data quality, integrity, and consistency across reporting environments.
- Optimise existing data models and reporting solutions for performance and scalability.
- Collaborate with HR stakeholders to understand reporting requirements and translate business needs into technical solutions.
- Troubleshoot data issues and implement sustainable fixes.
- Document data processes, models, and technical solutions.
- Support continuous improvements to the organisation's analytics and reporting capabilities.
Requirements
Minimum Requirements
- 3–5 years' experience as a Data Engineer or similar data-focused role.
- Strong experience with Databricks.
- Advanced SQL development skills.
- Proven experience developing dashboards and reports using Power BI.
- Experience building and maintaining ETL/ELT pipelines.
- Understanding of data modelling and data warehousing principles.
- Experience working with cloud-based data platforms.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder engagement abilities.
- Ability to work independently in a remote, globally distributed team.
- Experience working with HR, People Analytics, or workforce data.
- Exposure to Azure data services.
- Knowledge of data governance and data quality best practices.
- Experience within mining, engineering, or other large enterprise environments.
- Work remotely with a globally recognised mining organisation.
- Contribute to enterprise People Analytics initiatives with real business impact.
- Gain exposure to modern data engineering technologies and large-scale datasets.
- Collaborative international team environment.
- Competitive hourly rate with an immediate start opportunity.
Similar Jobs
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Owns infrastructure strategy, architecture, security, provisioning, recovery, compliance, monitoring, and cost management for a core platform. The role operates AWS environments, Kubernetes and managed services, improves observability and disaster recovery, supports production systems, and mentors engineers. It requires strong cloud networking, IAM, security, compliance, incident response, and infrastructure-as-code expertise.
Top Skills:
Amazon EcsAmazon EksAWSBitbucket PipelinesCi/CdElasticacheIamKubernetesOctopus DeployRdsRedshiftS3TerraformVpc
Information Technology
As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.
Top Skills:
Ai ToolingGoNode.jsPerlRag Pipelines
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads techno-commercial strategy for RAN engagements across EMEA. Translates radio technology into ROI and TCO value propositions, develops pricing and commercial models, supports negotiations, optimizes offer scope, and partners with sales, pricing, contract management, presales, and domain teams. The role drives proactive customer engagement, win rates, margin protection, reusable commercial assets, and profitable growth across complex telecom and ICT deals.
Top Skills:
2G3G4G5GCloud ComputingCloud RanCore NetworksMassive MimoOpen RanOss/BssRanSoftware LicensingTransport Networks
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
