Senior Data Engineer with Python

Codete is not just a software company, it’s a place where tech-enthusiasts can grow by doing what they love and feel valued for what they are. We’re experienced, agile and versatile: we work with a wide range of technologies in projects from many different industries, and the majority of our team are senior-level specialists.

At Codete, there’s always something new to learn!

About Our Customer: We build technology that changes the way the world moves to ensure that the future of transportation is shared, dynamic public mobility — the kind that reduces carbon emissions across congested cities, minimizes reliance on private cars, and provides everyone with accessible, efficient, and affordable ways of getting around.

We’re committed to building and nurturing a team as diverse as the communities we serve. Bringing transportation equity to the world begins with championing equal opportunity in our own offices. All backgrounds, identities, and voices are welcomed and celebrated here.

Location: Poland or Remote from European countries

Salary range: PLN 24,000 - 28,000 PLN net/ B2B / monthly (5 000 - 5 800 euro/month net) for B2B

Tech stack: Python, SQL, Graph, Post GIS, Kafka, Airflow, AWS

Requirements

• 4+ years of experience as a Senior Data Engineer
• Experience in executing Big Data solutions and in processing unstructured and structured data into column store databases
• Experience with Data streaming, Kafka, Airflow, knowledge in the Amazon ecosystem
• Have strong proficiency in SQL and advanced programming skills (preferably in Python)
• Experience with Graph databases (e.g: Neo4j, Amazon Neptune, Elastic, Graph QL) - a big advantage
• Experience in Post GIS - an add-on for Post Gers database
• Solid experience in Data Engineering and worked in it commercially, with solid experience in the back-end - Python
• Knows how to build an architecture, and processes
• Experience ETL processes
• Have an ability to work in a complex technological environment
• Experience in mapping and geographical areas can be a way of a bonus and advantage
• An independent, self-learner who is passionate about data, understands business processes and can translate business needs into data models
• Team player, great communication skills
• BSc/MSc in Computer Science or equivalent

Responsibilities:

• Design, implement and support robust, scalable solutions to enhance data capabilities
• Participate in the development cycle end-to-end – architecture, design, development, QA, deployment and monitoring.
• Build highly scalable, efficient and available data pipelines/solutions, serving our data across the organization and to stakeholders.
• Collaborate with a broad forum of experts and stakeholders, including architects and engineers, to create high quality deliverables
• Increase our analytics capabilities including first, second and third-party data sources
• Monitor data quality, proactively correcting discrepancies ensuring data reliability & accuracy

Benefits

Values & Atmosphere

• flexible attitude (including working hours) • international business trips • social events & awaydays • support for your ideas

Personal development

• external conferences • technical & soft skills training • switching between projects/technology • English classes • internal library

Health & Relax

• Employee Wellbeing Platform • private health care • multisport card • sports events • chill-out room • fresh fruits & juicer

Knowledge & Culture

• open source initiatives • Codete Mentorship Program • R&D department

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