Data Engineer (Mid-Level)
Data Engineer (Mid-Level)
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Job Description
We are looking for a Data Engineer to join our growing data platform team. We need a skilled engineer who will help us develop and maintain data architectures and processing solutions that empower our data scientists BI analysts and many other internal data consumers. One major role of the team is to prepare and maintain selfserve data infrastructure and ensure data availability security and scalability. Another one is to build and maintain pipelines for integrating internal and thirdparty data while ensuring high data integrity and quality. The engineer will work in a dynamic fastchanging environment with plenty of interaction with other teams.
Responsibilities
Design build maintain and manage the data platform components.
Create maintain and monitor pipelines for regular data processing while ensuring data reliability quality and efficiency
Maintain data serving layer manage permissions and automate processes around data catalog
Develop integrations with internal and external data sources
Support BI and business in efficient data modeling
Crossfunctional cooperation with data scientists data engineers devops architects developers QA and other parties. Collaborate to bring new features and services into production.
Develop and improve operational practices and procedures
Qualifications :
Proven 23 years of experience in designing and implementing data processing pipelines using distributed data processing engines
Handson experience with Python in data engineering applications understanding common programming principles
Experience with data orchestration
Experience with cloud platforms such as AWS Azure or GCP.
Expertise with SQL database design/structures ETL/ELT design patterns
Proficiency in English
Nice to have:
Experience with: Databricks Azure cloud Azure DevOps CI/CD
Additional Information :
- Beginning: ASAP
- Full time position (Permanent after probation)
- Location: Warsaw
In return for your expertise and energy we offer:
Support with all the necessary office and IT equipment
Flexible working hours
Wellness allowance for mental and physical wellbeing
Access to professional mental health support
Referral bonus policy
Learning and development
Sustainability events and community involvement
Peer recognition program
Employeeled resource groups
Optional (fully covered or cofinanced) health care and life insurance
Multisport card
Multikafeteria
Lunch card
Hybrid (4 days in office per month) / full remote work
Remote work from abroad policy
Internet and Electricity bill allowance
Additional day for community service when volunteering
Our hiring team looks forward to reviewing your CV in English with a guaranteed response to every application. A new job with purpose awaits you!
Dont fit all the criteria but still think youd be a good candidate Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. Were interested in hiring from a diverse and skilled talent pool regardless of professional and educational background.
Can the hiring process be adjusted to suit my needs Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people people with longterm health conditions and neurodiverse candidates. If you need any adjustments including the provision of interview questions please let the hiring team know.
Our teams strength comes from everyones uniqueness and is founded upon mutual respect. EcoVadis commits to equity inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color national or ethnic origin ancestry citizenship religion beliefs age sex gender identity sexual orientation neurodiversity disability parental status or any other protected characteristic that makes you unique. In your application we encourage you to remove personal information such as: photographs marital status number of children religion gender residential postal code university graduation date past medical or parental leave(s) taken nationality (instead please state if you are legally eligible to work in the job region/country) university name (instead please state any degrees obtained and the study major).
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
