Data Engineer

at  ParkBee

WE ARE PARKBEE!

A forward-thinking company dedicated to creating innovative solutions that significantly impact urban infrastructure. Our mission is to use technology to solve real-world problems while improving the quality of life in bustling cities.
You have the chance to be part of a team that’s driving change and making a difference in the world.
Our solution provides consumers with a wide and dense network of off-street parking spaces, helping cities make better use of space and offering property owners an extra income using our smart and innovative platform.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 4+ years of proven experience as a Data Engineer (mid-level role).
• Experience with data warehousing solutions (e.g., Redshift, Snowflake) and relational databases (e.g., PostgreSQL, MySQL).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with Extract, Transform, and Load processes and tools like Apache NiFi, Talend, or Informatica.
• Work knowledge of cloud services like AWS, Azure, or Google Cloud Platform and data visualisation tools (Looker, Tableau, or Power BI) for creating dashboards and reports.
• Excellent communication and collaboration skills, with the ability to work in cross-functional teams.
• Continuous integration and deployment practices (CI/CD pipelines).

SKILLS:

• Strong analytical skills and attention to detail, with a focus on performance optimisation and data quality.
• Analytical and troubleshooting abilities.
• Experience with real-time data processing (e.g., Kafka, Flink).
• Knowledge of machine learning and AI data pipelines is a plus.

ROLE OVERVIEW:

As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure that supports the collection, storage, and analysis of large volumes of data.
Your work will play a critical role in enabling data-driven decision-making across the company.

RESPONSIBILITIES:

• Create efficient data pipelines, optimising database performance, and ensuring data are accessible, reliable, and secure.
• Develop and optimise data architectures, including databases, data lakes, and data warehouses.
• Implement data governance and security measures to ensure data quality, consistency, and privacy.
• Automate data workflows to ensure reliable and timely data availability for stakeholders.
• Monitor and improve the performance of data infrastructure and troubleshoot issues as they arise.
• Collaborate with stakeholders, business analysts, and other teams to ensure integration and availability of data for various business needs.
• Proficiency in ETL processes, data modelling, and working with cloud platforms is essential.
• Strong programming skills (e.g., Python, SQL) and experience with big data technologies (Fivetran and Snowflake) are key to this role.