Analytics Engineer

The role

The Analytics Engineer bridges the gap between data engineering and data analytics. You will maintain and develop scalable data models and solutions to support finance, B2B, and B2C teams.

What you will do

• Collaborate with stakeholders to design and implement data models and BI solutions.
• Build, test, and maintain data transformations using dbt.
• Implement software engineering best practices for data including version control, CI/CD, and automated testing.
• Deliver day-to-day support and project-related tasks for data and BI infrastructure.
• Develop and maintain scalable, maintainable, and well-documented data pipelines.
• Identify and resolve issues across ETL/ELT processes and data pipelines.

Required qualifications

• 3+ years of experience in Analytics Engineering, BI, or Data Engineering roles.
• Strong proficiency in SQL, including complex queries and performance tuning.
• Hands-on experience with dbt for data transformation and modeling.
• Understanding of data migration to cloud platforms such as AWS (Redshift) or GCP (BigQuery).
• Familiarity with database design, version control (e.g. Git/GitHub), and CI/CD practices.
• Experience with ETL/ELT tools (e.g. Airflow, DBT).
• Strong analytical thinking and problem-solving abilities.
• Effective communication skills and ability to collaborate across teams.
• Attention to detail and focus on continuous improvement and data quality.
• Adaptability to fast-paced environments.

Benefits

• Annual bonus scheme
• 25 days paid leave
• 24/7 Employee Assistance Program
• Life Insurance
• Enhanced Parental Leave policy
• Food Allowance
• Multisport Card
• Both in house and external training programs
• Your own training dedicated budget (for conferences, courses etc.)

About the company

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy.