Data Engineer - Cloud, Warehousing & Analytics

Amarti Ltd.; United Kingdom; Remote; GBP 55,000 - 85,000; Full time

Benefits offered by this job

Private Health Insurance

Personal innovation day

Volunteering days

25 days holiday + bank holidays

Job summary

amarti Ltd. is seeking a data engineer to strategy, analytics and modelling with strong data engineering skills across Python, SQL, and cloud platforms. You will work within a collaborative startup team to deliver modern data solutions using Agile and DevOps practices.

Ideal candidates have experience with Snowflake, BigQuery, Redshift, and visualization tools like Power BI or Tableau, and are committed to continuous learning and knowledge sharing within the team.

Qualifications

• Experience in data strategy, analytics and modelling with strong data engineering programming languages (Python, SQL, R, Scala).
• Commercial experience with cloud platforms such as AWS, Azure, or Google Cloud (GCP).
• Passionate about Agile and DevOps methodologies for delivering modern data solutions.
• Experience with large-scale data warehousing platforms like Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, or Databricks.
• Knowledge of reporting and visualisation tools like Power BI, Tableau, or Looker to communicate data insights effectively.
• A life-long learner who follows technology roadmaps and explores new technologies for development.
• Confident in collaborating with engineers and clients, using a hands-on, whiteboard approach.
• Enjoy mentoring junior team members and supporting their career growth.
• Believe in diversity and inclusion and promoting authentic self at work.
• Thrive in a friendly, collaborative startup culture.

Skills

Data engineering

Cloud platforms

Agile & DevOps

Data warehousing

Data visualization

Continuous learning

Collaborative problem solving

Mentorship

Diversity & inclusion

Startup environment

Tools

Snowflake

Google BigQuery

Amazon Redshift

Azure Synapse

Databricks

Job description

amarti Ltd. is seeking a data engineer to strategy, analytics and modelling with strong data engineering skills across Python, SQL, and cloud platforms. You will work within a collaborative startup team to deliver modern data solutions using Agile and DevOps practices.

Ideal candidates have experience with Snowflake, BigQuery, Redshift, and visualization tools like Power BI or Tableau, and are committed to continuous learning and knowledge sharing within the team.