Data Engineer

Decision Inc; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

Decision Inc Australia is seeking a skilled Data Engineer to design and modernise data environments, building robust data pipelines and analytics solutions for diverse clients. You will support pre-sales activities and proofs of concept while delivering scalable data architectures.

You will collaborate with Engagement Lead, Sales, and executive teams to translate business needs into technical data solutions and mentor junior consultants for ongoing capability development.

Qualifications

• Bachelor’s degree in a related field is required.
• Strong SQL skills and experience with large data sets.
• Experience building and maintaining data pipeline architecture.
• Experience with modern data platforms (cloud).

Responsibilities

• Design and modernise data environments with robust pipeline architecture.
• Support pre-sales activities and POCs for clients.
• Build analytics tools using data pipelines to derive insights.
• Collaborate with Stakeholders across technical and exec audiences.
• Deliver high-quality data solutions and mentor junior consultants.
• Contribute to internal knowledge sharing via blogs or workshops.

Skills

SQL

Data pipelines

ETL/ELT

Cloud platforms

Education

Bachelor's degree in CS/IS or related

Tools

Microsoft Fabric

Azure Data Factory

Databricks

Snowflake

Job description

Who We Need – Data Engineer

Decision Inc Australia is currently looking for an experienced Data Engineer to join our growing team. You will be exposed to a wide range of clients, so the ability to quickly understand new business environments is essential.

What do we look for in our people?

At Decision Inc., we look for people who want to fulfil their passion for changing the world with technology and data. No two days are the same. You will be challenged and pushed whilst being nurtured and supported to become a master of your craft. You will participate in interesting internal and client projects across different industries and functions, with the opportunity to think outside the box and develop the technology, analytical and soft skills to be recognised as a top performer in your field.

We are client obsessed and constantly challenging each other on ways to deliver better outcomes with data. We never lose sight of the bigger picture and have fun along the way.

We like to bring people onboard who reflect our values of being personally invested in the success of our clients, and each other and bringing passion, integrity, collaboration, community, and vision to the way they work. If you are a great listener, a team player, a trusted confidant to your friends, smart and savvy, driven and competitive, love to learn, a connector of people and someone who is searching for purpose in how you can explore making a difference through your work, then the Decision Inc. Australia is your kind of team.

What does Decision Inc. do?

Decision Inc. is a global technology consulting organisation with offices in South Africa, the United Kingdom and Australia. We are a leader in information-driven transformation with a core focus on data, digital and performance intelligence.

Through Decision Inc. Australia's technology and industry specialisations we have helped our Australian clients to make better decisions faster by creating value from our client's data and information. We bring our clients technology solutions that enable significant business progress whilst leveraging the research, expertise, and innovations of our global teams.

We represent leading global technology brands and are experts in the implementation, support and advisory services focused on realising client value through digital transformation.

What Will You Do?

As a Data Engineer, you will work directly with clients to design and modernise their data environments, building robust data pipeline architecture and analytics solutions. You'll support our Sales team through pre-sales activities and Proof of Concepts (POCs), while assembling complex data sets that meet business requirements and drive actionable insights.

This role combines hands-on technical delivery with client stakeholder management, requiring you to deliver billable client engagements while progressively building the consulting, technical and relationship management skills needed to take ownership of projects and client outcomes.

Responsibility and Accountability

• Working closely with the Engagement Lead, the Data Engineer is responsible for delivering project outcomes, executing agreed project scope and ensuring client objectives are achieved.


• Engage with clients to conceptualise data solutions.


• Modernise existing data environments.


• Assist the Sales team with pre-sales activities and Proof of Concepts (POCs).


• Provide technical assistance and guidance to junior consultants, while supporting intermediate consultants where appropriate.


• Create and maintain optimal data pipeline architecture.


• Assemble large, complex data sets that meet functional and non-functional business requirements.


• Identify, design and implement internal process improvements, including automating manual processes, optimising data delivery and redesigning infrastructure for greater scalability.


• Build the infrastructure required for the optimal extraction, transformation and loading (ETL) of data from a wide variety of data sources using Microsoft technologies.


• Build analytics tools that utilise data pipelines to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.


• Work with stakeholders, including the Executive, Product, Data and Design teams, to resolve data-related technical issues and support their data infrastructure needs.


• Work with data and analytics experts to enhance the functionality and capability of our data systems.


• Participate in technical reviews and quality assurance activities.


• Assist with technical training and knowledge transfer for consultants and clients.


• Contribute to the technical development of junior consultants through mentoring and knowledge sharing.


• Contribute to and progressively lead technical blogs, forums and/or workshops.


• Assist the Support Desk where applicable.


• Balance team support responsibilities with billable work, depending on capacity and utilisation.


• Undertake any other reasonable duties consistent with the responsibilities of the role, as requested by management.

What skills and experience would be ideal?

• Experience building and maintaining data pipeline architecture and ETL/ELT processes.


• Experience with modern data platform technologies such as Microsoft Fabric, Azure Data Factory, Databricks, Snowflake or similar modern data platforms.


• Demonstrated ability to learn new technologies quickly and adapt in a fast-paced consulting environment.


• Strong SQL skills and experience assembling large, complex data sets.


• Experience modernising and migrating legacy data environments to cloud platforms.


• Ability to design and implement process improvements, automation and scalable infrastructure.


• Experience building analytics tools that deliver actionable business insights.


• Exposure to client-facing consulting, including solution conceptualisation and requirements gathering.


• Exposure to pre-sales activities and Proof of Concept (POC) development.


• Ability to provide technical assistance and guidance to team members, including junior consultants.


• Strong stakeholder engagement skills across technical and executive audiences.


• Experience participating in technical reviews and quality assurance activities.


• Ability to deliver technical training and knowledge transfer sessions to colleagues and clients.


• Commitment to knowledge sharing through technical blogs, forums, workshops or other learning initiatives.


• Strong problem-solving skills and attention to detail.


• Excellent written and verbal communication skills.


• Relevant tertiary qualification in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience).


• Relevant certifications (e.g. Microsoft Azure Data Engineer Associate) are desirable.