About Vivanti:

The Data People Shaping Tomorrow.

Vivanti was founded as a haven for talented technologists who want to make a real impact for their clients. Our mission is to transform businesses and to create a smarter, more connected world through the power of data and technology. Together, we are making the future happen - today.

Your Career, Accelerated:

Youve got the skills. The curiosity. The hunger to grow, try new things and make a real impact. Were a growing global tech consultancy. Some of the worlds biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life.

What Youll Get:

- A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills.

- Access global businesses: Work with some of the world's biggest brands.

- IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects.

- Access to a broad ecosystem of technologies.

- Senior consultants who have your back: Youll always have a guide on your journey, not just be thrown into the deep end.

- Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more.

- Progress thats transparent: Annual reviews based on 360 feedback, not vague vibes. Clear goals, solid feedback and real growth.

- Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives.

- Real connection: From Friday socials to annual team building days - we work hard and play harder.

What Were Looking For:

We're on the hunt for people who love solving problems, thinking critically and staying curious. 5 years experience using SQL, python or other relevant technology. Experience working with Databricks and relevant certifications in Databricks or cloud platforms.

Key Skills:

As a Consulting Data Engineer, youre the builder - making sure data flows cleanly and reliably.

What youll do:

- Designing and building robust data pipelines using Databricks, Spark, and Delta Lake.

- Implementing scalable and secure Lakehouse architectures on Databricks.

- Collaborating with analysts, ML engineers, and platform teams to deliver Databricks-native solutions.

- Applying best practices in data governance, CI/CD, and orchestration within the Databricks ecosystem.

- Ensuring systems are secure, reliable and cost-effective.

What you will bring:

- 8+ years of experience in Python, Spark, and SQL for building scalable data pipelines in Databricks.

- Deep experience with Databricks features including Delta Lake, Unity Catalog, and MLflow.

- Workflow orchestration using Airflow or Databricks Workflows.

- Integration experience with dbt, Fivetran, and Terraform for modern data stack automation.

- Familiarity with cloud platforms (Azure, AWS, GCP).

- Knowledge and experience of data modelling techniques (Inmon, Data Vault, Kimball).

- Knowledge and experience of the data lifecycle, data management & governance, data platform architectures.

- Knowledge and experience of Databricks data pipeline & data platform optimisation techniques.