Senior Data Engineer | Betty CA

Bettyjobboard; Greater London; In loco; GBP 70.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Premium Health insurance

Career and skills development

Fun and collaborative team environment

New modern office space

Descrizione del lavoro

Betty is hiring a Data Warehouse Engineer to design and optimize scalable data pipelines in a London office. You will collaborate with Engineering and business stakeholders to translate data needs into robust ETL/ELT solutions and ensure compliant reporting.

Requirements include 3+ years in data warehousing, Python/SQL proficiency, and experience with cloud DWs such as Redshift, Snowflake or BigQuery. Strong communication and teamwork are essential.

Competenze

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years in data warehouse engineering or a related role.
• Experience with cloud data warehousing technologies (Redshift/Snowflake/BigQuery).
• Strong Python and SQL skills; knowledge of data modelling and ETL/ELT design.
• Experience with Airflow or Dagster; understanding of CI/CD pipelines.
• Excellent analytical, problem solving and communication abilities.

Mansioni

• Collaborate with cross functional teams to define data requirements.
• Develop and maintain scalable data pipelines loading data into the DWH.
• Optimize existing data processes for performance and reliability.
• Work with infrastructure teams to implement scalable and secure data platforms.
• Create and maintain reports for regulatory and internal needs.
• Evaluate and adopt new technologies to improve data processing capacity.
• Mentor junior colleagues on data engineering best practices.

Conoscenze

Python

SQL

Airflow

Dagster

CI/CD

Data modeling

Communication

Teamwork

Formazione

Bachelor's degree in Computer Science or Data Science

Strumenti

Amazon Redshift

Snowflake

Google BigQuery

Docker

Kubernetes

Descrizione del lavoro

About Us:

Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming.

Betty Canadais a scale up company 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

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