Data Engineer, Digital Delta


Solution 49x Data Engineer  

Do you love solving complex problems, designing sophisticated solutions and building innovative technology for Australia’s largest organisations?

We at Solution 49x use a human-centred design approach to address industry’s most pressing problems using AI and machine learning alongside other innovative technologies. Our focus is on transforming organisations’ abilities to engage with their customers and citizens whilst embracing the process efficiencies unlocked by these data-driven techniques. 

We’re proud that our diverse team includes a broad spectrum of skills and personalities - from strategists to statisticians, scientists to software developers, anthropologists to behavioural economists. We’re proud of our diversity and deeply believe this is the key to our innovation and success. We’re passionate about our mission to bring our dogs (and the other parts of life that make us real, rounded ‘humans’) to work every day.

Your new role

The Data Engineer is the designer, builder and manager of the information or "big data" infrastructure, preparing data for analytical or operational use. You have an aptitude for translating business problems into data & infrastructure requirements and solutions. You will design, construct, test and maintain a data pipeline to pull together information from different source systems; integrating, consolidating and cleansing data; and structure it for use in individual analytics applications, actively ensuring the stability and scalability of our clients’ systems. You will work proactively to:

  • Drive technical roadmap for the team, covering non-functional requirements such as scalability, reliability and observability
  • Design, construct, install, test and maintain highly scalable data management systems.
  • Assess new and existing data sources on their applicability to address the business issue.
  • Working closely with Solution 49x Data Scientists to extract and manipulate data from a variety of sources and subsequently cleanse, standardize, scale, bin, categorise, tokenise, stem and the appropriate transformations to get the data into a state suitable for analytical use. 
  • Ensure systems meet business requirements and industry practices.
  • Research opportunities for data acquisition and new uses for existing data.
  • Develop data set processes for data modeling, mining and production.
  • Integrate new data management technologies and software engineering tools into existing structures.
  • Create custom software components and analytics applications.
  • Employ a variety of languages and tools to integrate systems.
  • Install and update disaster recovery procedures.
  • Recommend ways to improve data reliability, efficiency and quality.
  • Collaborate with data scientists to determine what data is needed for analysis. 

In addition to your focus on client engagements, you will contribute to the definition and enhancement of data engineering disciplines within the practice.  

You bring to the role

  • A proven ability to undertake the responsibilities and requirements of the role, as listed above.
  • Excellent interpersonal, oral and written communication skills.
  • Proven ability to develop and manage enduring client relationships, engendering a sense of trust and respect.
  • Demonstrable industry knowledge; understanding the way your primary industry functions and how data can be collected, analyzed and utilized; maintaining flexibility in the face of big data developments.  Experience in financial services, telecommunications and retail is not mandatory but highly regarded.
  • A disciplined approach to problem solving and an ability to critically assess a range of information to differentiate true business needs as opposed to user requests.
  • Experience with a range of technical skills that could include:
  • Knowledge of architecting and engineering cloud-based data solutions with the following products: AWS Redshift/RDS, S3, EC2, Lambda, EMR, Glue, DynamoDB, Cloudformation, Athena, Kinesis – or equivalents in Azure or Google Cloud Platform, with a particular focus on serverless backend development and integration
  • Big Data technologies such as Hadoop, Spark Streaming, Storm, NiFi, HBase, Hive, MapReduce, Pig, Zepplin, Kafka, Ranger, Ambari.
  • Programming languages such as Java, Python, Scala, MatLab, SAS, R.
  • SQL-based technologies (e.g. PostgreSQL and MySQL) and NoSQL technologies (e.g. Cassandra and MongoDB)
  • Data warehousing solutions and data modelling tools (e.g. ERWin, Enterprise Architect and Visio)
  • High-level understanding of statistical analysis and modelling, predictive analytics, text analytics and other machine learning applications

    What we offer you

We offer rewarding careers for outstanding professionals, ongoing learning and development opportunities, a collaborative and inclusive culture, and flexible and agile work practices that focus on our people's wellbeing to drive innovation and entrepreneurship. We also believe that our business plays a distinct and vital role in helping solve important social and environmental issues; and use our unique skills and expertise to help create positive and lasting impacts for our communities.

We believe diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. We are consistently recognised as an employer of choice for women, and our inclusive culture promotes the development of our people irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability.

This is an exciting opportunity to be a part of KPMG and its ongoing success. So if you want a career where you can use your deep expertise to deliver real results, talk to us first.

Please apply for this position by submitting your confidential application online.


Solution 49x Data Engineer  

Do you love solving complex problems, designing sophisticated solutions and building innovative technology for Australia’s largest organisations?

We at Solution 49x use a human-centred design approach to address industry’s most pressing problems using AI and machine learning alongside other innovative technologies. Our focus is on transforming organisations’ abilities to engage with their customers and citizens whilst embracing the process efficiencies unlocked by these data-driven techniques. 

We’re proud that our diverse team includes a broad spectrum of skills and personalities - from strategists to statisticians, scientists to software developers, anthropologists to behavioural economists. We’re proud of our diversity and deeply believe this is the key to our innovation and success. We’re passionate about our mission to bring our dogs (and the other parts of life that make us real, rounded ‘humans’) to work every day.

Your new role

The Data Engineer is the designer, builder and manager of the information or "big data" infrastructure, preparing data for analytical or operational use. You have an aptitude for translating business problems into data & infrastructure requirements and solutions. You will design, construct, test and maintain a data pipeline to pull together information from different source systems; integrating, consolidating and cleansing data; and structure it for use in individual analytics applications, actively ensuring the stability and scalability of our clients’ systems. You will work proactively to:

  • Drive technical roadmap for the team, covering non-functional requirements such as scalability, reliability and observability
  • Design, construct, install, test and maintain highly scalable data management systems.
  • Assess new and existing data sources on their applicability to address the business issue.
  • Working closely with Solution 49x Data Scientists to extract and manipulate data from a variety of sources and subsequently cleanse, standardize, scale, bin, categorise, tokenise, stem and the appropriate transformations to get the data into a state suitable for analytical use. 
  • Ensure systems meet business requirements and industry practices.
  • Research opportunities for data acquisition and new uses for existing data.
  • Develop data set processes for data modeling, mining and production.
  • Integrate new data management technologies and software engineering tools into existing structures.
  • Create custom software components and analytics applications.
  • Employ a variety of languages and tools to integrate systems.
  • Install and update disaster recovery procedures.
  • Recommend ways to improve data reliability, efficiency and quality.
  • Collaborate with data scientists to determine what data is needed for analysis. 

In addition to your focus on client engagements, you will contribute to the definition and enhancement of data engineering disciplines within the practice.  

You bring to the role

  • A proven ability to undertake the responsibilities and requirements of the role, as listed above.
  • Excellent interpersonal, oral and written communication skills.
  • Proven ability to develop and manage enduring client relationships, engendering a sense of trust and respect.
  • Demonstrable industry knowledge; understanding the way your primary industry functions and how data can be collected, analyzed and utilized; maintaining flexibility in the face of big data developments.  Experience in financial services, telecommunications and retail is not mandatory but highly regarded.
  • A disciplined approach to problem solving and an ability to critically assess a range of information to differentiate true business needs as opposed to user requests.
  • Experience with a range of technical skills that could include:
  • Knowledge of architecting and engineering cloud-based data solutions with the following products: AWS Redshift/RDS, S3, EC2, Lambda, EMR, Glue, DynamoDB, Cloudformation, Athena, Kinesis – or equivalents in Azure or Google Cloud Platform, with a particular focus on serverless backend development and integration
  • Big Data technologies such as Hadoop, Spark Streaming, Storm, NiFi, HBase, Hive, MapReduce, Pig, Zepplin, Kafka, Ranger, Ambari.
  • Programming languages such as Java, Python, Scala, MatLab, SAS, R.
  • SQL-based technologies (e.g. PostgreSQL and MySQL) and NoSQL technologies (e.g. Cassandra and MongoDB)
  • Data warehousing solutions and data modelling tools (e.g. ERWin, Enterprise Architect and Visio)
  • High-level understanding of statistical analysis and modelling, predictive analytics, text analytics and other machine learning applications

    What we offer you

We offer rewarding careers for outstanding professionals, ongoing learning and development opportunities, a collaborative and inclusive culture, and flexible and agile work practices that focus on our people's wellbeing to drive innovation and entrepreneurship. We also believe that our business plays a distinct and vital role in helping solve important social and environmental issues; and use our unique skills and expertise to help create positive and lasting impacts for our communities.

We believe diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. We are consistently recognised as an employer of choice for women, and our inclusive culture promotes the development of our people irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability.

This is an exciting opportunity to be a part of KPMG and its ongoing success. So if you want a career where you can use your deep expertise to deliver real results, talk to us first.

Please apply for this position by submitting your confidential application online.

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