Job Description

Accenture is a leading global professional services company. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

Our Team

Accenture’s Data Engineering practice covers the range of Data and AI skills across all domains of data governance & quality, cloud & traditional data engineering and visual insights & next generation user interfaces. When combined with Accenture’s broader Strategy and Consulting and Technology businesses, we are able to bring together the unique end to end business changes through the application of Data and AI.

We are looking are looking for Data Engineers to join our pipeline capability teams. If you are looking for change you can make it happen here.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundary less opportunities that can drive your career in new and exciting ways. We have access to world leading assets, training and experts to help your career thrive and grow.

As an Pipeline Engineer you will be involved in:

•     Cataloging and governing the data, enabling access to trusted and compliant data at scale across the enterprise.

•    Ingest data from various sources such as on-premises databases or data warehouses, SaaS applications, IoT sources, and streaming applications into a cloud data lake.

•    Integrating the data by cleansing, enriching, and transforming it by creating zones such as a landing zone, enrichment zone and an enterprise zone.

•    Applying data quality rules to cleanse and manage data while making it available across the organization to support DataOps.

•     Preparing the data to ensure that refined and cleansed data moves to a cloud data warehouse for enabling self-service analytics and data science use cases.

•    Stream processing to derive insights from real-time data coming from streaming sources such as Kafka and then moving it to a cloud data warehouse for analytics consumption.

We are looking for experience in the following skills:


•    3+ years of experience in ETL development or data engineering

•    Ability to understand and articulate requirements to technical and non-technical audiences

•    Stakeholder management and communication skills, including prioritizing, problem solving and interpersonal relationship building

•    Demonstrated experience in deployment / processing data on any cloud ecosystem such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and Snowflake for both batch and real-time processing

•    Strong SQL skills

•    Experience in marketing leading ETL software (e.g. Datastage, Informatica, SSIS or Talend)


•    Experience in Document databases

•    Experience in AWS PaaS and Python, R or Scala scripting

•    Experience in data modelling

•    Excellent presentation and communication skills, both written and verbal

•    Ability to problem solve and architect in an environment with unclear requirements.

•    Experience in AWS PaaS environment and its native services such as Glue, Lambda and S3

Join Us

Experience:    All levels

Start date:     Staggered start dates apply

Location:       ANZ

If you consider yourself to be a constant learner with strong coding and analytical background, apply now for us to get to know you.


Job Qualifications

•    Bachelor’s degree in IT, Computer Science, Engineering or relevant work experience.

•    A client-centric, outcome-driven and quality-focused team player.

•    Ability to work effectively independently as well as in a team environment.

•    Enjoy problem-solving in the different domains and industries.

•    Australian Citizenship would be required for some project roles to comply with security clearance requirements



At Accenture, our philosophy is anchored in recognising that our people are multi-dimensional. We take an intersectional human approach to create a work environment where all people feel like they can bring their authentic selves to work, every day.

We believe that equality drives innovation. Our commitment to accelerating equality starts at the top with our board and CEO and extends across every part of the company. This comes to life when our people own the equality agenda, making it part of their jobs – every decision, every day – and feel free to speak up and to act.

We do not tolerate discrimination because of differences, such as age, ability, ethnicity, gender, gender identity or expression, religion, or sexual orientation. We want a workplace that is inclusive and diverse to that end we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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