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*Data Engineer - Platform Engineering*

Accenture is a leading global professional services company. We believe in inclusion and diversity and supporting the whole person.
 

Join Accenture and help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities, client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.

Our team:

Accenture’s Modern Data Platforms 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.

If you're looking to join a team where learning, growth is available in an innovative culture that thrives on shared success, diverse ways of thinking and where you can drive your career in new and exciting ways, apply today.

Hungry for change and keen to level up, you will become an integral part of our Cloud First & Applied Intelligence team with the credibility, expertise and insight clients depend on working with famous brands and household names – tackling some of the most challenging industry, community and national problems.

We are looking for hands-on authentic and committed Data Engineers to support clients across a range of industries and join our Platform Engineering capability:

As a Platform Data Engineer you will be involved in writing codes that bridge the gaps between software and hardware. Your key deliverables will include but not be limited to being accountable to / contribute to technical decision making, defining successful outcomes and owning/contribute to engineering execution in the team. This will involve:

• Build automation to support product development and data analytics initiatives.

• Create, maintain and track designs (at high and detailed design level) with issue resolution.

• Identifying new/emerging technologies for adoption, drive consistent code reviews.

• Provide high quality content deliverables using the appropriate document templates.

• Work with product management to direct priorities and ensure successful execution.

• Continually research current and emerging technologies and proposing changes where needed.

You will be responsible for all aspects of data engineering from delivery planning, estimating and analysis, all the way through to data architecture and pipeline design, delivery and production implementation.

You will be

• working on client projects with teams from across our Applied Intelligence practice as well as industry, functional and technology SMEs on some of our clients most challenging projects

• designing and implementing complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise, and hybrid client technology landscapes

• Ensure technical expectations of deliverables are met

We are looking for experience a number in the following skills:

• 3+ years of experience in data engineering in a customer or business facing capacity

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

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

• Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environment,

• Experience of implementing and delivering data solutions and pipelines on Azure / AWS or GCP cloud platforms

• Experience across one or more across data lifecycle – platform build, pipeline, migration / testing

• An understanding of data modelling, data structures, databases, and ETL processes

• An in-depth understanding of large-scale data sets, including both structured and unstructured data

• Strong SQL and/or Python knowledge

• Experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)

• Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment

Apply now to register your interest and have a confidential chat about your current situation and career goals.

Join Us

Experience: All levels

Start date: Staggered start dates apply 

Location: ANZ

Salary: Remuneration is negotiable based upon experience to date

Salary range:80k-140k

*Data Engineer - Platform Engineering*

Accenture
Adelaide SA
Full time

Published on 11/14/2022

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