Poland - Warsaw - ASEC
Open 4 months, first seen by us 126 days agoDesign, develop and optimize scalable data pipelines using Snowflake
Implement data modelling, performance tuning and cost-efficient architecture in Snowflake
Automate workflows and integrate diverse data sources into Snowflake
Conduct code reviews for secure, maintainable data engineering solutions
Monitor and troubleshoot pipeline issues for high availability
Designing, developing, and optimizing scalable data pipelines using Snowflake and modern data stack tools.
Implementing best practices for data modelling, performance tuning, and cost-efficient architecture in Snowflake.
Automating data workflows and integrating diverse data sources into the Snowflake platform.
Conducting code reviews to ensure high-quality, maintainable, and secure data engineering solutions.
Monitoring and troubleshooting data pipeline issues, ensuring high availability and performance.
Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 126
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Aviva’s usual: its jobs come down by about day 51.
From 13,745 similar postings that came down, and 15 of Aviva’s. Coming down is not always a hire.
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Approx. 2-3 years of experience in a relevant role. - Experience in Snowflake scripting - stored procedures (PLSQL or python), user defined functions, Common Table expressions, Window functions. - Knowledge of ETL / ELT and Snowflake architecture.
- Understanding basic principles of data structure and data modelling. - Knowledge of Azure DevOps and/or AWS services (AWS Glue experience is preferred). - Experience with software engineering best practices such as design patterns, code review, testing, and documentation.
- Experience in using Snowpark. - DBT (Data build tool or any other commercial ETL tool) hands on experience in creating models as per requirements, using macros, jinja scripting, hooks, automated tests, snapshots, DBT packages. - Snowflake certifications.
What will you be doing? - Designing, developing, and optimizing scalable data pipelines using Snowflake and modern data stack tools. - Collaborating with cross-functional teams to understand data requirements and deliver robust solutions.
- Collaborating with cross-functional teams to understand data requirements and deliver robust solutions. - Implementing best practices for data modelling, performance tuning, and cost-efficient architecture in Snowflake. - Conducting code reviews to ensure high-quality, maintainable, and secure data engineering solutions.
- Ensuring data quality, reliability, and security across all stages of the data lifecycle. - Automating data workflows and integrating diverse data sources into the Snowflake platform. - Monitoring and troubleshooting data pipeline issues, ensuring high availability and performance.
- Experience in Snowflake scripting - stored procedures (PLSQL or python), user defined functions, Common Table expressions, Window functions. - Knowledge of ETL / ELT and Snowflake architecture. - Knowledge of various file formats (Parquet, JSON, YAML).
- Knowledge of various file formats (Parquet, JSON, YAML). - Understanding Snowflake concepts like data sharing, replication, dynamic data, using masking policies, secure views, row access policies concepts, tags, streams, tasks, external tables, time travel, clone, storage integration, stages, clustering of larger tables on clustering keys, role-based access control. - Familiarity with git concepts like creation of branches, cloning of repo, creation of pull requests, resolving conflicts, code reviews.
- DBT (Data build tool or any other commercial ETL tool) hands on experience in creating models as per requirements, using macros, jinja scripting, hooks, automated tests, snapshots, DBT packages. - Snowflake certifications. In Aviva Services Excellence Centre, we provide:
Nice to have: - Knowledge of Apache airflow to schedule pipelines. - Experience in using Snowpark.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
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.
Hi, we're glad you're here! We are hiring to our Aviva Services Excellence Centre! Take a look at our job description - maybe it suits you or one of your friends?
The project is growing and the team needs you!
Why is it good to join Aviva?
Become a part of a team of enthusiasts where initiatives are more than welcome
You'll have the real influence on the shape of the project (everyone's voice matters)
You'll have fun creating and implementing high quality solutions that you can later leverage on - there will be more time to work on interesting features in the future (instead of putting out fires)
Experience friendly and supportive working culture
Direct cooperation with the UK team
Have lots of fun and satisfaction from your work without sacrificing work-life balance
You'll get access to high quality learning platforms with guaranteed time for self-development during working hours
Internal upskilling programs available for Data Engineers
Opportunity to use and experience modern technology stack used within Data Engineering
Clear career path
What will you be doing?
Designing, developing, and optimizing scalable data pipelines using Snowflake and modern data stack tools.
Collaborating with cross-functional teams to understand data requirements and deliver robust solutions.
Implementing best practices for data modelling, performance tuning, and cost-efficient architecture in Snowflake.
Conducting code reviews to ensure high-quality, maintainable, and secure data engineering solutions.
Ensuring data quality, reliability, and security across all stages of the data lifecycle.
Automating data workflows and integrating diverse data sources into the Snowflake platform.
Monitoring and troubleshooting data pipeline issues, ensuring high availability and performance.
What we’re looking for?
Approx. 2-3 years of experience in a relevant role.
Experience in Snowflake scripting - stored procedures (PLSQL or python), user defined functions, Common Table expressions, Window functions.
Knowledge of ETL / ELT and Snowflake architecture.
Knowledge of various file formats (Parquet, JSON, YAML).
Understanding Snowflake concepts like data sharing, replication, dynamic data, using masking policies, secure views, row access policies concepts, tags, streams, tasks, external tables, time travel, clone, storage integration, stages, clustering of larger tables on clustering keys, role-based access control.
Familiarity with git concepts like creation of branches, cloning of repo, creation of pull requests, resolving conflicts, code reviews.
Understanding basic principles of data structure and data modelling.
Knowledge of Azure DevOps and/or AWS services (AWS Glue experience is preferred).
Experience with software engineering best practices such as design patterns, code review, testing, and documentation.
Fluent English.
Nice to have:
Knowledge of Apache airflow to schedule pipelines.
Experience in using Snowpark.
DBT (Data build tool or any other commercial ETL tool) hands on experience in creating models as per requirements, using macros, jinja scripting, hooks, automated tests, snapshots, DBT packages.
Snowflake certifications.
In Aviva Services Excellence Centre, we provide:
Contract of employment
Performance Bonus
Private medical care (ENEL-MED)
Cafeteria system of benefits (e.g. MultiSport card)
Additional parent privileges:
- baby leave – 6 weeks leave for second parent
- shortened working time after parental leave
Employer-funded group insurance
Employee Shares Plan
Extra day off for birthday
Paid time off to volunteer
Additional leave acquired over the years in the company (even 5 days more in a year)
Wellbeing Leave - additional two weeks paid leave after 10 years of service
Psychological support consultations
Access to the e-learning platforms
Internal employee referral program
Hybrid working model from Poland with a few days in Warsaw office per month
Attractive office location in Warsaw - Gdański Business Center
Additional entitlements for people with disabilities - Work Without Barriers
Work environment that promotes diversity - Diversity Charter
Do you see yourself in Aviva Services Excellence Centre? Be sure to apply!
Aviva is for everyone!
We’ve been ranked the #1 Best Workplace in Poland for a second year in a row and a top choice for Millennials by Great Place to Work®!
As a signatory to the Diversity Charter, Aviva applies a policy of equal treatment and creates a work environment that is friendly to people with disabilities. We do not require from candidates the date of birth, marital status and attached photos to your CV. We encourage all individuals regardless of gender to apply.
Most of our people are smart working – spending also time in our office - combining the benefits of flexibility, with time together with colleagues.
We’re inclusive - we welcome applications from people with diverse backgrounds and experiences.
Excited but not sure you tick every box? Research tells us that women, particularly, feel this way. So, regardless of gender, why not apply and try!
To find out more about current job offers at Aviva take a look here.
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Poland - Warsaw - ASEC
- Internal employee referral program - Hybrid working model from Poland with a few days in Warsaw office per month - Attractive office location in Warsaw - Gdański Business Center
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