Lead Consultant, Data & AI Engineering

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passion.

About the role and what you'll be doing:

As a Lead Consultant at Ensono, we will expect you to be playing a leadership role and will be spending most of your time leading an agile delivery team across all aspects of the data and analytics lifecycle on an exciting project and helping that client to realise the business benefit of an investment into the cloud.

Our Technical Leads are hands-on; you will also be responsible for identifying the appropriate technologies to use for your project, designing and architecting scalable data platforms and solutions using cloud-based services for your client and influencing the success of the project.

You will work closely with senior technical people from the client, navigating through complex stakeholder relationships, and guiding architectural and technical decisions across data engineering solutions such as data lakes, large-scale ingestion pipelines and distributed processing platforms, as well as enabling advanced analytics and AI-driven solutions that help clients unlock more value from their data.

You will also support teams in designing data platforms that enable machine learning, AI and intelligent data products, ensuring the right data architecture and governance is in place to support these capabilities.

Required Experience :

You will be leading across all aspects of the data engineering lifecycle on large, complex and scalable data platforms. Such as, you’ll need to bring your skills and experience:

• Engineering Big Data patterns and solving complex data challenges
• Designing and architecting scalable data platforms including data lakes and ingestion pipelines
• Engineering and modelling best practices for both RDMS and NoSQL databases
• Designing distributed data processing solutions using technologies such as Apache Spark (particularly DataBricks), Google BigQuery or similar platforms
• Designing solutions using the most appropriate cloud-based services (AWS, Azure, GCP etc.) and cloud-native data patterns
• Implementing large-scale data ingestion pipelines including batch, micro-batch and streaming processing approaches
• Designing data platforms that support advanced analytics, machine learning and AI-driven solutions
• Confidently taking on challenges and being responsible for outcomes
• Creating a collaborative team environment where everyone’s opinion is heard, but you know when to be assertive, back down or escalate
• Great communication skills, in particular: presenting, collaborating and partnering with stakeholders
• Understanding the way projects affect your client’s success and adds value to their business

What we can offer you:

We will give you a place to strive and grow, where you will have the opportunity to work on interesting, yet challenging projects. Applying your thinking to build a better world founded on intelligent technologies.

We are a people-first business, which means people are at the heart of everything we do here. We offer our consultants a safe environment where knowledge sharing, and open communication is encouraged. Whether at one of the internal monthly events, such as Lunch & Learns, Tech Time, and internal competency meet-ups, or at one of our community groups, such as football, gaming, yoga, or wellbeing; we have strived to build a business where everyone feels welcomed, included, and valued.