Data Architecture Engineering - Senior

Meet our Team 

The Enterprise Data Analytics team is responsible for collecting information from a variety of sources, storing it in enterprise datalake, and ensuring its security. The team also manages data segregation, organizing and categorizing the data to facilitate easy access and usability. This structured approach enables the team to deliver valuable insights and information to internal clients, supporting a range of applications, reporting dashboards and Machine Learning teams.

Comprising 15 members, this international team is spread across different geographical locations, including Poland, India, the USA, and Mexico. This diverse composition brings together a wealth of cultural perspectives and technical expertise, enhancing the team's ability to innovate and respond to global challenges in data analytics.

The Role

The ideal candidate will be tasked with ingesting data from multiple sources into our Data Lake, utilizing ETL tools, API integrations, and Python scripts. This role involves supporting and enhancing existing data pipelines, ensuring compliance with coding standards, and maintaining comprehensive documentation. The candidate will also be responsible for monitoring production processes and swiftly addressing any issues that arise. Close collaboration with DevOps and Data teams is essential to ensure seamless data integration and system performance.

We welcome applications from remote candidates based in Poland, with the expectation of working within Polish time zones.

Requirements

• 4 to 7 years of hands-on experience in Data Engineering or a related role
• Proficiency in one or more programming languages such as Python
• Hands-on experience with SQL
• Strong experience with ETL processes and tools (e.g., Pentaho, SSIS, Informatica, HVR)
• Experience with AWS cloud services
• Experience with data pipeline automation and orchestration tools (e.g., Airflow)
• Proficiency with GIT and CI/CD practices
• Experience with monitoring and logging solutions
• Familiarity with modern data development practices (e.g., data lakes, real-time streaming)

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Championing diversity, equity, and inclusion   

Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.   

How we look after you  

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.   

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.