Data Engineer

at  Snap Analytics

KEY ATTRIBUTES

At Snap Analytics, personality matters. We’re looking for people who bring energy, enthusiasm, and a positive attitude to the workplace. As a Data Consultant, you’ll need to be dynamic, proactive, and detail-oriented in everything you do.
A strong desire to learn and share knowledge is equally important for success in this role.

Desired Skills / Experience

• 2:1 University degree or above (or equivalent experience).
• 2+ years of experience with data integration and visualisation tools.
• 2+ years of experience with Matillion and Snowflake (experience with other cloud platforms such as Redshift or Google BigQuery is also valuable).
• Experience with AWS is a plus.
• Experience with other ETL tools like Informatica, Fivetran, or dbt is transferable and welcomed.
• 2+ years of experience in data warehousing and database concepts.
• Experience in Kimball dimensional modeling and designing/implementing Kimball star schema data models.
• Strong communication skills.
• Motivated, ambitious, and determined to succeed.
• Ability to perform in a fast-paced, high-pressure environment.

KEY RESPONSIBILITIES

This position provides an excellent opportunity to both develop your technical expertise and enhance your client-facing skills. You’ll have the chance to work with a variety of technologies in analytics, including ETL, modern cloud data platforms, BI, and AI/ML tools.
To thrive in this role, you should have at least 3 years of experience working with data and hands-on experience in areas such as ETL tools, SQL, data modelling, data warehousing, and cloud data platforms.

ADDITIONAL RESPONSIBILITIES INCLUDE:

• Utilising and expanding your core analytics skills across the full analytics spectrum—from data integration and modelling to dashboard creation and data science.
• Learning and applying new technologies and methodologies as guided by the Delivery Director.
• Building data pipelines using Matillion.
• Developing demo content and proof of concepts (PoCs) for use with clients, based on briefs provided by the Delivery Lead.
• Collaborating closely with clients to understand and capture business requirements.
• Working with various data models, including Kimball and Data Vault.
• Delivering impactful data visualisation solutions for end-users.
• Raising any issues or challenges with the Development Lead promptly.
• Providing documentation on new technologies for training other team members.
• Contributing to the overall team effort and taking on tasks that may go beyond the standard scope of the role.