Consultant - Data Engineering

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.

Life at Vivanti

Our people are the lifeblood of our business. At our core - we want people who are deeply

curious about technology, willing to have a go and have a voice to solve our customer's most

complex business problems.

We value breadth at Vivanti - we know that no business is the same. We believe the best

technologists have a few deep skills, but love to explore new tools. This means, regardless

of what curveballs get thrown at us, we'll always be able to solve the problem.

We also love to have fun - even our senior folks are techies at heart and we want to have a

great time as we go on this journey together.

Data Consultants are responsible for designing, building, and maintaining the infrastructure

and architecture that allows for the collection, storage, and analysis of data. They play a

crucial role in ensuring that data is accessible, reliable, and secure for data scientists and

analysts.

What You'll Do

● Design scalable data models on Snowflake, Databricks, BigQuery & Redshift

● Develop & optimise ETL pipelines and applications

● Analyse & improve existing systems using modern frameworks

● Deliver clear technical documentation

● Optimise cloud databases for performance

● Collaborate with analysts & data scientists

● Ensure data security & compliance

● Stay updated on the latest cloud technologies

What We Are Looking For

● 5+ years in software or data engineering with cloud expertise

● Strong SQL & data modeling skills

● Experience in ETL, performance tuning & cloud platforms (AWS, Azure, GCP)

● Analytical mindset & excellent communication skills

● Familiarity with Snowflake's and Databricks' architecture and features is highly

desirable.

● Proficiency in programming languages such as Python, Java, or Scala.

● Experience with SQL and NoSQL databases.

● Familiarity with data processing frameworks like Apache Spark or Hadoop.

● Knowledge of data modeling and ETL (Extract, Transform, Load) processes.

● Understanding of cloud platforms such as AWS, Google Cloud, or Azure.

● Strong problem-solving skills and attention to detail.