Unlock Data Insights as a Senior Data Engineering Expert
Há 4 dias
Company Overview
Paddle is revolutionizing the payment infrastructure for SaaS companies, offering a simplified approach to payments. By acting as a Merchant of Record, Paddle eliminates 100% of payment fragmentation pain, resulting in faster, safer, cheaper, and better services.
We're backed by prominent investors, including KKR, FTV Capital, Kindred, Notion, and 83North, and serve over 3000 software sellers in 245 territories globally.
The Role
Salary: €90,000 - €120,000 per year
As a Senior Data Engineer at Paddle, you will be responsible for delivering technical solutions to implement our data strategy. You'll work closely with cross-functional teams to build secure data pipelines and transform data for effective analysis.
Key Responsibilities:
- Build and maintain efficient, secure data pipelines to ensure smooth data flow across the organization.
- Develop and maintain data models to enable self-service analytics, supporting consistent, accurate reporting and data governance.
- Collaborate with cross-functional teams to understand data requirements and develop solutions that meet both immediate and long-term business needs.
- Assist internal teams with operational data support requests, ensuring they have reliable, timely access to the data they need.
- Use various techniques, including advanced aggregations and data wrangling methods, to transform raw data into analytics-ready, well-documented, and highly maintainable datasets that empower data-driven decision-making.
- Ensure data accuracy, completeness, and consistency by implementing quality checks and resolving issues proactively.
- Implement DevOps practices to deploy and maintain code in production environments.
- Stay up-to-date with the latest industry trends, tools, and technologies related to data engineering.
Requirements:
- Advanced SQL and data modeling skills, including experience with dbt and data warehousing solutions (e.g., Snowflake, BigQuery).
- Good knowledge of database management systems such as SQL, NoSQL, and columnar databases.
- Experience working with orchestration frameworks, like Airflow.
- Experience with CI/CD pipelines in a data engineering context, applying version control, testing, and automation best practices.
- Experience with cloud-based platforms such as AWS, GCP, or Azure.
- Experience with data integration tools like Fivetran, Meltano, Airbyte, Stitch, or similar.
- Familiarity with BI tools such as Looker, Tableau, Sisense, or comparable.
- Strong attention to detail to identify and resolve data quality issues.
- Strong collaboration and communication skills to work effectively with cross-functional teams and convey complex data concepts to diverse stakeholders.
Benefits
- A full suite of benefits, including attractive salaries, stock options, retirement plans, private healthcare, and well-being initiatives.
- Unlimited holidays and enhanced parental leave.
- Investment in learning and personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.
Why Paddle?
Paddle values diversity, inclusivity, and respect. We welcome applicants from all backgrounds and are committed to building a team where everyone feels safe to be their authentic self.
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