Data Engineering Manager

Posted 2024-07-31

📍 Location: Lisbon, Copenhagen, London, NOT STATED

🔍 Industry: Financial technology

🗣️ Languages: English

🪄 Skills: AWSLeadershipPeople ManagementStrategyData engineering

Experience managing people and data platforms.
Strong passion for people management, team growth, and software delivery.
Ability to work with cross-functional teams to align data engineering with business goals.
Comfortable stepping into technical discussions and stakeholder meetings.
Passion for data and AI technology, leveraging advancements for business value.
Experience in building and maintaining robust data platforms.

Directly manage 8-12 Data engineers.
Coach the team in working collaboratively with other engineers and data experts to grow platform adoption.
Drive a user-centric & solution-oriented mindset.
Continuously improve the environment and processes to support data platform growth and compliance.
Create and steer the data platform strategy with alignment to business and tech goals.
Represent Data Engineering in key projects and ensure their delivery.
Design organization and objectives while maintaining high standards.

Posted 2024-11-12

📍 Poland. Serbia. Hungary. Spain. Portugal

🧭 Full-Time

🔍 Home improvement

🏢 Company: HomeBuddy

5+ years of experience in data engineering, with 2+ years in a leadership role.
Strong experience with Python, SQL, and Snowflake.
Familiarity with AWS Services like Lambda, Glue, and S3.
Knowledge of data governance, security, data modeling principles, and data quality monitoring.
Experience with DataOps practices such as orchestration and CI/CD.
Excellent communication skills for both technical and non-technical audiences.
Strong analytical skills and business acumen.
Business fluency in English.

Architect and oversee data infrastructure to support advanced analytics, real-time insights, and machine learning.
Create high-performance data pipelines integrating diverse data sources for real-time and batch processing.
Collaborate with Data Science, Engineering, and Product teams for impactful data-driven solutions.
Establish data engineering standards focusing on governance, security, and compliance.
Guide the data engineering team through code reviews and foster a high-performing culture.
Design and maintain ETL/ELT processes ensuring data accuracy and accessibility.
Lead planning and prioritization for data engineering initiatives focusing on ROI and long-term value.

AWSDockerLeadershipPythonSQLETLMachine LearningSnowflakeAirflowData engineeringCommunication SkillsAnalytical SkillsCollaborationCI/CDCompliance

Posted 2024-11-12

🔧 Requirements