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3,603
Event jobs in Germany
Analytics Engineer- Data Operations & Governance
Medium
Singapore
On-site
SGD 70,000 - 90,000
30+ days ago
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Analytics Engineer- Data Operations & Governance
Medium
Singapore
On-site
SGD 60,000 - 90,000
30+ days ago
Regional Sales Manager or Senior Regional Sales Manager, China Market
Closerstill Media
Singapore
On-site
SGD 80,000 - 100,000
30+ days ago
Mantle Integrated Senior Marketing Manager
Windranger Labs
Singapore
On-site
SGD 100,000 - 150,000
30+ days ago
SAP Integration Consultant
BLUE OCEAN SYSTEMS INFOTECH PTE. LTD.
Singapore
On-site
SGD 60,000 - 80,000
30+ days ago
Discover more opportunities than anywhere else. Find more jobs nowService Desk Engineer - (WL-FNW250117 001/05)
Xcellink Pte Ltd
Singapore
On-site
SGD 40,000 - 60,000
30+ days ago
Connect with headhunters to apply for similar jobsSenior / Executive, Corporate Communications and Community Relations
ST ANDREW'S MISSION HOSPITAL
Singapore
On-site
SGD 50,000 - 70,000
30+ days ago
Strategic Lead — Events & Fundraising
Cadmus Resources
Singapore
On-site
SGD 50,000 - 70,000
30+ days ago
Senior Executive, Events and Fundraising
Cadmus Resources
Singapore
On-site
SGD 50,000 - 70,000
30+ days ago
Fund Raising & Partnerships Executive (Healthcare, Non-Profit)
RECRUIT EXPERT PTE. LTD.
Singapore
On-site
SGD 60,000 - 80,000
30+ days ago
Senior Executive, Community Engagement & Partnership
Young Men's Christian Association of Singapore
Singapore
On-site
SGD 45,000 - 65,000
30+ days ago
Addressing Asia's Protection Gaps
Global Asia Insurance Partnership
Singapore
On-site
SGD 60,000 - 80,000
30+ days ago
Lead, Asia Protection Gaps & Resilience Strategy
Global Asia Insurance Partnership
Singapore
On-site
SGD 60,000 - 80,000
30+ days ago
Site Operations Lead - Proactive, Hands-On Coordinator
Safeguard Eco-Tech Pte. Ltd.
Singapore
On-site
SGD 60,000 - 80,000
30+ days ago
Associate/AVP, Quantitative Strategist, Equities
GIC Private Limited
Singapore
Hybrid
SGD 80,000 - 110,000
30+ days ago
Senior Executive, Education Development Office / GME
Khoo Teck Puat Hospital
Singapore
On-site
SGD 45,000 - 55,000
30+ days ago
Analytics Engineer & Data Operations & Governance
Medium
Singapore
On-site
SGD 70,000 - 90,000
Full time
30+ days ago
Job summary
A leading tech company in Singapore seeks a Data Engineer to manage data operations and ensure the quality of product and user-event data. You will develop robust data pipelines, oversee data governance practices, and collaborate with cross-functional teams. Strong SQL skills and experience with data engineering tools like dbt and Airflow are essential. Join us to optimize data workflows and enhance operational efficiency.
Qualifications
- Strong SQL and proficiency in Python or JavaScript for data infrastructure.
- Track record in designing data governance practices in product analytics.
- Ability to debug pipeline failures and ensure continuity in reporting.
Responsibilities
- Ensure accuracy, reliability, and structure of product and user-event data.
- Build and maintain scalable data pipelines using tools like dbt and Airflow.
- Develop and maintain internal data tools and automate workflows.
Skills
Strong SQL
Python
Data governance practices
Collaboration & Communication
Tools
dbt
Airflow
Git
Job description
Responsibilities:
- Data Operations & Governance: Own the accuracy, reliability, and structure of product and user-event data through robust governance practices; Define and enforce standards for event tracking, data schemas, and documentation across teams; Conduct regular audits, validation checks, and coordinate instrumentation changes with engineering and product teams.
- Data Pipeline Development & Maintenance: Build and maintain scalable, observable data pipelines using tools like dbt, Airflow, or similar frameworks; Monitor pipeline health, implement alerting systems, and resolve data issues with root cause analysis; Optimize pipeline performance and ensure high availability of core datasets for analytics and reporting.
- Internal Tooling & Automation: Develop and maintain internal data tools, utilities, and dashboards using SQL, Python, and lightweight web technologies; Automate workflows to reduce manual reporting and improve operational efficiency for data stakeholders; Create reusable data models that support fast iteration and confident self-service analysis.
- Competitive Intelligence & Data Collection: Operate and enhance data scraping workflows to collect structured information on competitors, pricing, and market trends; Ensure scraping systems are stable, maintainable, and compliant with data privacy and ethical standards.
Requirements:
- Engineering Foundation: Strong SQL and working proficiency in Python or JavaScript for building and maintaining data infrastructure; Experience with modern data engineering tools (e.g., dbt, Airflow, Fivetran, Dagster); Familiarity with version control (Git), code modularization, and documentation practices.
- Data Quality & Governance Experience: Track record designing or maintaining data governance practices in product analytics environments (e.g., Segment, GA4, Mixpanel); Comfortable building QA checks, anomaly detection, and data validation processes; Familiarity with data governance education and data governance related stakeholder management.
- Operational Mindset: Comfortable being on point for data issues, debugging pipeline failures, and ensuring continuity in reporting and dashboards; Ability to set up alerting/logging mechanisms to proactively detect and respond to data problems.
- Collaboration & Communication: Strong written and verbal communication skills to align with product, engineering, and business teams; Able to translate business questions into engineering requirements and technical work into stakeholder-friendly language.
- Preferred Qualifications: Prior experience / knowledge on data science / machine learning; Prior experience on hands-on data engineering; Understanding of data operation & governance in analytics workflows; Experience supporting data for experimentation or A/B testing pipelines.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.