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People analytics - data engineer (melbourne)

Melbourne
Deloitte
Posted: 4 October
Offer description

This is a People Analytics - Data Engineer role with Deloitte based in Melbourne, VIC, AU
== Deloitte ==

Role Seniority - mid level

More about the People Analytics - Data Engineer role at Deloitte

Description:

- Salary packaging – to suit your personal and financial circumstances

- Flexible work arrangements – work in a way that suits you best

- Rewards platform – your hard work won’t go unnoticed at Deloitte

- Open to candidates across Australia

About the Role:

Are you curious about the world of people data? Do you love to work with data which is energetic and always evolving? We are seeking a highly skilled and motivated Data Engineer to join our internal People Analytics team. In this role, you will have the chance to work with data that represents your own employee journey and ensure that Deloitte is using the highest quality data to provide strategic insights into workforce trends and employee experience.

This is an exciting opportunity to play a pivotal role in enhancing the data infrastructure and analytical capabilities of the Talent team at Deloitte. As the People Analytics Data Engineer, you will be instrumental in connecting data points across the employee lifecycle, ensuring quality, accuracy, timeliness and optimisation of our data warehouse initiatives and ETL workflows, contributing significantly to our strategic objectives.

Key Responsibilities:

- Data Architecture & Management: Design, develop, and maintain robust data architectures and ETL pipelines to support our evolving data needs.

- Data Warehouse Implementation: Lead efforts in migrating and integrating employee data sources into our centralised data warehouse, ensuring only the highest quality employee data products are created and are seamlessly connected with other business data.

- Tableau Workflow Optimisation: Optimise and manage existing Tableau Prep workflows, ensuring they align with the new data architecture. This includes updating data sources, improving workflow efficiency, and maintaining documentation.

- Data Quality Assurance: Establish and maintain data validation and testing protocols to ensure data integrity. This involves identifying data discrepancies, implementing quality checks, and collaborating with analysts to address data issues.

- Collaboration & Innovation: Work closely with data analysts, Talent SMEs, and cross-functional teams to deliver insights that drive informed decision-making across the organisation.

Essential Skills:

- Previous experience in data engineering or related roles, including data pipeline design and delivery.

- Strong expertise in SQL and experience with cloud platforms like Databricks. Experience with Fabric or similar AI tools is an advantage.

- Ability to communicate technical concepts to non-technical stakeholders and collaborate with cross-functional teams, managing multiple priorities effectively.

- Knowledge of data profiling and cleansing tools, along with experience in implementing data quality frameworks.

- Hands-on experience with Tableau Prep and Tableau Server (or similar), focusing on workflow optimisation and automation.

- Keen attention to detail and a desire to ensure all data is of the highest quality.

- Ability to troubleshoot complex data issues and propose cutting-edge solutions.

- Previous experience with HR data is not necessary however, curiosity and a willingness to understand dynamic, complex and context-dependant data is needed.

Why Deloitte?

At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating, and setting the standard; making a positive difference to our clients and our society. We putcoaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.

We embrace diversity, equity, and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.

We prioritise flexibility and choice. At Deloitte, you get trust on Day 1. We know our people get their best work done when they’re in control of where and how they work, designing their work week around their client, team, and personal commitments.

We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.

Next Steps

Sound like the sort of role for you? Apply now, we’d love to hear from you

By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.

Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Deloitte team will be there to support your growth.

Please consider applying even if you don't meet 100% of what’s outlined

Key Responsibilities

- ️ Designing data architectures
- Implementing data warehouse
- ⚙️ Optimising Tableau workflows

Key Strengths

- ️ Data engineering experience
- SQL expertise
- Data quality assurance
- Tableau experience
- Communication skills
- Problem-solving skills

Why Deloitte is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with Deloitte not with Hatch.

📌 People Analytics - Data Engineer
🏢 Deloitte
📍 Melbourne

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