Senior Data Engineer, Platform

Summary

Join Jobber's Data Platform team as a Senior Data Engineer and build scalable data solutions, empower internal teams, and accelerate business growth. You will design, develop, and maintain data pipelines, develop automation tools, collaborate with cross-functional teams, and lead initiatives to research and propose new technologies. The ideal candidate possesses strong coding skills in Python and SQL, expertise in ETL pipelines using Airflow and dbt, and experience with AWS data infrastructure. Leadership skills and strong communication are essential. Jobber offers a competitive salary, equity rewards, annual stipends, retirement savings matching, an extended health package, and a dedicated talent development program.

Requirements

• Leadership Skills: Proven ability to lead and collaborate in team environments, fostering a culture of shared success
• Strong coding skills in Python and SQL
• Expertise in building and maintaining ETL pipelines using tools like Airflow and dbt
• Experience working with AWS data infrastructure, particularly Redshift, Glue, Lambda, and ECS Fargate
• Familiarity with handling large datasets using tools like Spark or similar (e.g., Trino)
• Experience with Terraform for infrastructure management
• Experience with dimensional modelling, star schemas, and data warehousing in a cloud environment (preferably AWS Redshift)
• Knowledge of CI/CD processes, data ingestion, and optimizing data flow across systems
• Proficient in working with high-volume, scalable data infrastructure
• Ability to collaborate effectively with both technical and non-technical teams, explaining complex data concepts in a clear and concise manner

Responsibilities

• Build Scalable Data Solutions: Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure (preferably AWS). Leverage Python, SQL, and AWS technologies (Glue, Lambda, ECS Fargate) to ensure smooth data operations. Build scripts, serverless applications, and automated workflows
• Empower Internal Teams: Develop tools and frameworks that automate manual processes, set up alerting/monitoring systems, and help teams run data-driven experiments and analyze results. Work closely with cross-functional teams to support their needs and ensure data accessibility
• Accelerate Business Growth: Collaborate with data analysts, scientists, and product teams to extract actionable insights from data. Utilize tools like Airflow and dbt to streamline ETL/ELT pipelines and ensure the seamless flow of data
• Strategic Planning and Innovation: Lead initiatives to research and propose new technologies and tooling for our data stack, with an emphasis on performance and scalability. Participate in design and code reviews, continuously learning from and mentoring your peers
• Data Integrity: Own the integrity of our data and maintain a high level of trust across the organization

Preferred Qualifications

• Experience with AWS tools like EMR and SageMaker
• Familiarity with Kafka for stream processing and message queuing
• Knowledge of NoSQL databases
• Hands-on experience with integration and APIs

Benefits

• A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, retirement savings plan matching, and stock options
• A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential
• Support for all your breaks: from vacation to rest and recharge, your birthday off to celebrate, health days to support your physical and mental health, and parental leave top-ups to support your growing family