Senior Data Engineer

Automotivemastermind; Województwo pomorskie; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Automotive Mastermind seeks a data engineer to build and support scalable data ingestion and processing pipelines for our US-based SaaS platform. You will assemble large data sets and collaborate with product teams to improve cloud-native data frameworks and dashboards.

We value experience with Python, containerization, dataflow-like tools, SQL/NoSQL, and modern analytics stacks to deliver reliable data insights at scale.

Qualifications

• Experience building enterprise-scale software with Python and containerization.
• Experience in big data pipelines with distributed frameworks and analytics tools.
• Ability to model large data sets and work with SQL and distributed NoSQL stores.

Responsibilities

• Build and support data ingestion/processing pipelines across diverse sources.
• Assemble large datasets meeting functional and non-functional requirements.
• Contribute to scalable, cloud-native data frameworks and dashboards.
• Create real-time monitoring dashboards and alerts for data reliability.
• Document data assets, metrics, and KPIs for transparency.

Skills

Python

Containerization

Big data pipelines

Data modeling

SQL

NoSQL

Postgres

BigQuery

Dataflow

Agile

Tools

Dataflow

BigQuery

Postgres

Docker

Kubernetes

Job description

Automotive Mastermind provides a proprietary automated sales and marketing SaaS platform for dealerships based in the US. We empower dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing and dedicated consultative services.

Responsibilities and Impact:

• Build and support data ingestion and processing pipelines, ensuring efficient extraction, loading, and transformation of big data from diverse sources.
• Assemble large, complex data sets that meet both functional and non-functional business requirements, collaborating closely with product teams.
• Contribute to the continuous improvement of our cloud-native environment and data frameworks, enhancing scalability and efficiency.
• Create real-time monitoring dashboards and alerting mechanisms to enhance data processing reliability and performance.
• Document data assets, metrics, and KPIs to ensure transparency and knowledge sharing within the team.

What We're Looking For:

Basic Required Qualifications:

• Building enterprise-scale software using Python, Containerization technology , etc.
• Building 'big data' data pipelines with distributed frameworks Large-scale data analytics tools, Dataflow, etc., along with workflow automation & scheduling frameworks
• Assembling large and complex data sets that meet functional / non-functional business requirements, Data modeling & cataloging SQL & distributed NO-SQL datastores (DBA level) e.g. Postgres, BigQuery Agile software development, working in multi-functional multi-location teams.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.