Senior Data Engineer | Betty CA

Bettyjobboard; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Premium Health insurance

Career and skills development

Fun and collaborative team environment

New modern office space

Job summary

Bettyjobboard, a London-based entertainment company, seeks a Data Warehouse Engineer to build scalable data pipelines and manage cloud warehousing solutions. You will work with engineering and business stakeholders to meet data requirements and ensure compliant reporting.

The role emphasizes Python, SQL, and modern orchestration tools, with a focus on performance, security, and collaboration within a fun, collaborative team in a new London office.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in a data warehouse engineering or related role.
• Experience with cloud data warehousing technologies such as Amazon Redshift, Snowflake, or Google BigQuery.
• Strong Python skills and proficiency in SQL with data modelling.
• Experience with pipeline orchestration tools (Airflow, Dagster).
• Understanding of CI/CD principles and automated deployment processes.
• Excellent analytical and problem-solving skills; strong communication and teamwork.

Responsibilities

• Collaborate with cross-functional teams to define and understand data requirements.
• Develop and maintain scalable data pipelines for loading data from different sources into the DWH.
• Optimize and fine-tune data processes for performance improvements.
• Collaborate with infrastructure teams to implement scalable and secure data platform.
• Create and maintain reports for regulatory requirements and internal needs.
• Evaluate and implement new technologies, tools, and frameworks for data processing/storage.
• Mentor junior colleagues in data engineering best practices.

Skills

Data warehousing

Python

SQL

Airflow

Dagster

CI/CD

Cloud platforms

Education

Bachelor's degree in CS/DS

Tools

Dagster

BigQuery

Snowflake

Redshift

Looker

Tableau

Power BI

Docker

Kubernetes

Job description

About us:

Betty is an innovative entertainment company pioneering at the intersection of real money online casino and casual mobile gaming. Accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we've set a new standard in the industry. Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players' safety and enjoyment above everything else.

Our Values:

• We are honest- we value honesty in all aspects.
• Bring the Olives- we offer premium customer experience.
• Think Big - we believe in always striving for more.

Key Responsibilities:

• Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements.
• Develop and maintain scalable data pipelines for loading data from different sources into the DWH.
• Optimize and fine-tune existing data processes for improved performance.
• Collaborate with infrastructure teams to implement scalable and secure data platform.
• Create and maintain reports for regulatory requirements and internal business needs.
• Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
• Mentor junior colleagues, providing guidance in data engineering best practices.

Requirements:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in a data warehouse engineering or related role.
• Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery.
• Good programming skills in Python.
• Proficiency with SQL and data modelling.Experience with pipeline orchestration tools (e.g., Airflow, Dagster).
• Understanding of CI/CD principles and experience implementing automated deployment processes.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Fluency in English.

Nice to have:

• Experience with DBT.
• Experience with stream processing frameworks (e.g., Apache Kafka).
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI).

What we offer:

• Competitive salary
• Premium Health insurance
• Career and skills development opportunities
• Fun and collaborative team environment
• New modern office space