Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
Sofia, Bulgaria
Open 5 months, first seen by us 155 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild and maintain scalable data pipelines loading data into the DWH
Optimize and fine-tune existing data processes for performance
Create and maintain reports for regulatory and internal business needs
Work with infrastructure teams on a scalable, secure data platform
Evaluate and implement new data tools and frameworks
From the employer’s posting
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.
Create and maintain reports for regulatory requirements and internal business needs.
Collaborate with infrastructure teams to implement scalable and secure data platform.
Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
What you’ll bring
All qualificationsCore experience
- 3+ years in data warehouse engineering or a related role
- Experience with cloud data warehouses (Redshift, Snowflake, BigQuery)
- Good Python programming skills
- Proficiency with SQL and data modelling
- Experience with pipeline orchestration tools (Airflow, Dagster)
Qualification wording
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).
Education & alternatives
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.
Benefits in the posting
Full benefits wording- Competitive salary
- Premium Health insurance
- Career and skills development opportunities
- Fun and collaborative team environment
- New modern office space
From the employer’s posting.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 72
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Betty CA is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- dbt
- Docker
- Kafka
- Kubernetes
- Looker
- Power BI
- Redshift
- Snowflake
- Tableau
- Airflow
- Dagster
Where the posting names them
- 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.
- Good programming skills in Python. - Proficiency with SQL and data modelling. - Experience with pipeline orchestration tools (e.g., Airflow, Dagster).
- 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.
Nice to have: - Experience with DBT. - Experience with stream processing frameworks (e.g., Apache Kafka).
- 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).
- Experience with DBT. - Experience with stream processing frameworks (e.g., Apache Kafka). - Experience with containerization technologies (e.g., Docker, Kubernetes).
- Experience with containerization technologies (e.g., Docker, Kubernetes). - Experience with data visualization tools (e.g., Looker, Tableau, Power BI). What we offer:
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Betty CA posted this job before?
Yes. We’ve followed one other Senior Data Engineer job there since June 2026. It came down after 142 days.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Us:
Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming.
Betty Canada is 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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sofia, Bulgaria
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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