Data Engineer, Hybrid

at  Deloitte

Deloitte is the biggest professional services Firm in the world and making an impact is more than just what we do: it’s why we’re here. We’re driven to create positive progress for our clients, community, people, and the planet. This sense of purpose inspires us to work to the highest standards, to tackle the challenges that matter.
Joining us means becoming part of a Consulting team that’s at the top of its game and growing. Working with the best people and technology in the market, you’ll tackle meaningful projects that transform the future for high-profile local and international clients. And you’ll do it as part of a people-first culture that’s supportive, collaborative and, above all, welcoming.
.
Deloitte has exciting career opportunities for a Data Engineer within our Artificial Intelligence & Data Team.
We offer the opportunity to work with a variety of clients, technologies and provide a challenging and exciting work environment with scope for personal development and on-going training. Our team design and build architectures, automate processes, create interactive visualisations, search for patterns, develop predictive models and leverage AI technologies to bring actionable insight from data. Our team also work cross-functionally with other areas within our Technology and Transformation business (Human Capital, Customer & Marketing, Cloud Engineering, Operations Transformation etc.) and gain a broad knowledge of working models and industry sectors.

About the role:

• Lead project workstreams and support client engagement work in a variety of industries, areas and specialisms, building trusting client relationships
• Develop and implement data architectures and solutions for data storage and processing
• Ensure data quality, integrity, and security
• Optimise data workflows and processes for performance and efficiency
• Integrate data from various sources and formats, designing developing and maintaining scalable ETL processes and data pipelines
• Collaborate with cross-functional teams to understand business needs, and design and implement data-driven solutions
• Stay up-to-date with the latest tools and technologies in data engineering and big data processing
• Manage and coach junior team members and provide technical and non-technical guidance on their projects

About you:

• Suitable experience with a minimum of a third level degree in Maths, Physics, Engineering, Computer Sciences or a related discipline
• Commercial experience in an information/data management role
• Evidence of working with client/project stakeholders and approach to stakeholder management desirable (workshops, meetings, other interactions etc.)
• Strong experience of data modelling and design and data integration and ETL pipeline development with large data sets and distributed computing tools such as Hadoop or Spark
• Experience with R, Python, Scala, Nifi, Spark and cloud hosted solutions like Azure Analytics, Databricks or AWS Glue. Additional skills benefiting the role are SQL/Relational database knowledge and Stream Analytics/Real-Time structured streaming
• Ability to deliver comprehensive and detailed analytical reports, and having a clear and articulate communication style. Experience is using data visualisation tools like PowerBI/Tablaeu

If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process.
What we offer
Your reward at Deloitte is competitive, supports our purpose and enables our people to never stop growing. Your reward at Deloitte is not just your salary, we believe in investing in our people’s personal and professional development and empowering their work-life balance. Our ambition is to achieve gender equality and enable continuous growth. We offer supports and benefits that suit you, wherever you are in life, including health and well-being, pension, savings, training, coaching and
enhanced leave options among others.
Keep on being you. Bring your full, absolute self to work, every day. Explore, question and collaborate. Stretch your thinking, while building a career that inspires and energises you. And, whatever motivates you, keep growing both professionally and personally – because when you make an impact that matters, we do too.

• Lead project workstreams and support client engagement work in a variety of industries, areas and specialisms, building trusting client relationships
• Develop and implement data architectures and solutions for data storage and processing
• Ensure data quality, integrity, and security
• Optimise data workflows and processes for performance and efficiency
• Integrate data from various sources and formats, designing developing and maintaining scalable ETL processes and data pipelines
• Collaborate with cross-functional teams to understand business needs, and design and implement data-driven solutions
• Stay up-to-date with the latest tools and technologies in data engineering and big data processing
• Manage and coach junior team members and provide technical and non-technical guidance on their project