Data Engineer
Training and development to build your skills and career - at Deloitte we believe in investing in our best assets, our people! You will have access to world class training and funding towards industry and other professional certifications.
Flexible work arrangements - work in a way that suits you best.
Rewards platform - your hard work won't go unnoticed at Deloitte.
What will your typical day look like?
The Data Engineer will be a key member of our team. This role involves constructing robust and scalable data pipelines, exploring and implementing generative algorithms, and facilitating the seamless flow of data between computational systems. You will collaborate with a multidisciplinary team of Data Scientists & Machine Learning Engineers to meet organisational objectives and support the Engineering Lead in the execution of the GenAI SDT program of work.
You will be responsible for:
The design, development, and maintenance of our platform and client solutions based on technologies including:
* UNIX/Linux, Docker, Kubernetes, OpenShift v3
* Ansible, Git
* Cloud technologies and platforms such as Amazon AWS and Azure
* Analytics and search platforms (ElasticSearch)
* Messaging platforms (ActiveMQ, AWS SQS and SNS)
* Java, Maven
* API and ESB platforms (e.g., MuleSoft, Redhat)
* Transition to BaU plus ongoing development of client solutions
Key Accountabilities:
* Data Architecture & Pipeline Development: Design, build, and manage advanced data solutions, including data lakes and databases.
* Generative AI Implementation: Utilise generative algorithms to produce synthetic data, creating realistic simulations for training and validation purposes.
* Data Governance: Ensure data quality and data governance standards are upheld through careful design and documentation. Ensure that the data pipelines and databases align with Deloitte security protocols and industry standards.
* Team Collaboration: Partner with stakeholders to identify business requirements and translate them into data solutions.
* Technical Leadership: Provide mentorship to junior team members and advise on best practices and technologies in data engineering.
* Innovation and Research: Evaluate emerging technologies and methodologies in data engineering and Generative AI to keep the organization at the industry forefront.
* AI Enablement: Practical experience in building pipelines that enable AI/ML technologies.
* Data Governance: Understanding of data quality, data lineage, and data governance principles.
* Communication Skills: Ability to convey complex information clearly to technical and non-technical stakeholders.
Enough about us, let's talk about you.
* A minimum of 5 years professional experience in Data Engineering, preferably with a focus on Generative AI.
* Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field is preferable.
* Experience with platform and software development, release management in a managed services environment.
* Cloud technologies such as Azure or AWS.
* UNIX/Linux deployment and configuration management.
* TCP/IP networking, databases, messaging, and security.
* Knowledge of DevOps tools and techniques, such as Infrastructure as Code and Immutable Infrastructure.
* Experience with CI tools like Jenkins, Bamboo, etc.
* Security protocols such as OAuth, SAML, or OpenID Connect.
* Effective communication skills with diverse teams.
Why Deloitte?
We focus on interesting and impactful work, always learning and innovating. We embrace diversity and prioritize flexibility, trust, and work-life balance, offering various perks and benefits to support our employees.
Next Steps
If this role excites you, apply now! We look forward to hearing from you.
By applying, you'll be assessed against Deloitte Talent Standards. The preferred candidate will undergo background screening.
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