Data Engineer

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.

As a team:

The Data and AI revolution is changing everything. It’s everywhere - transforming how we work and play. 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.

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.

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.

We are looking for hands-on authentic and committed Data Engineers to support clients across a range of industries.

In this role you will have:

• Boundless opportunities to be involved in 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
• You will be designing and implementing complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise, and hybrid client technology landscapes
• Additionally, you will be helping translate data to insights that enable the business to make decisions as well as using visualizations to tell a compelling story with data that makes complex topics understandable
• Ensure technical expectations of deliverables are met
• Drive Thought-Leadership on engineering and architectural practices and standards

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 prioritizing, 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 cloud platforms such as AWS, Azure and GCP
• Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica), including metadata management, SQL development and performance tuning within these database environments.
• Experience in addressing and implementing data quality solutions, data reconciliation framework and strong understanding and experience in building data lineage documentation, and Data Catalogues. 
• A strong 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/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
• End to end implementation of at least 1 big data project using at least 1 of Hadoop, Map Reduce or NoSQL platforms
• Hands-on experience with other technologies in the Hadoop eco-system (e.g. Sqoop, Pig, Hive, HBase, Flume)
• ETL development experience with tools such as Informatica, DataStage, Talend, Ab Initio, etc.

Set yourself apart:

• Demonstrating your learning abilities and passion to continue to learn and grow – we believe in #LetThereBeChange and look to you to be on that journey
• Ability to problem solve and network to discover the right solutions in creative ways
• Ability to manage stakeholders, through active partaking
• Experience working on multi-discipline software projects & ideally large-scale
• Track record of delivering robust, automated data solutions at scale
• Experience in complex data engineering projects / engagements

Equal Employment Opportunity Statement

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.

• 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
• 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 cloud platforms such as AWS, Azure and GCP