Senior Data Engineer (m/f/d) Remote

As a Senior Data Engineer at SoSafe, your primary responsibilities will include designing, building, and maintaining data pipelines and infrastructure that support our rapid business growth. You will collaborate with product and analytics teams to deliver impactful data-driven solutions, democratize data access, and ensure data reliability through effective monitoring practices. Your commitment to quality and performance will drive our data initiatives and enhance customer experiences.

To be successful as a Senior Data Engineer at SoSafe, you should have at least 5 years of experience in building and maintaining end-to-end data pipelines on AWS. Proficiency in Python and SQL is crucial, along with experience using tools like Airflow and dbt. A solid understanding of DevOps practices, data governance, and exceptional communication skills are also key qualifications that will help you thrive in this role.

SoSafe is committed to fostering an environment conducive to professional growth for all employees, including Senior Data Engineers. We offer a Learning & Development Allowance, opportunities for participation in technical discussions, and a chance to work with cutting-edge technologies. Additionally, you will be part of a supportive team that values innovation, collaboration, and ongoing learning.

A typical workday for a Senior Data Engineer at SoSafe includes designing and optimizing data pipelines, collaborating with cross-functional teams, and evaluating new technologies to improve our data capabilities. You'll engage in technical discussions, conduct code reviews, and maintain data reliability and performance through Continuous Integration and Continuous Delivery (CI/CD) practices, all while staying connected with your teammates in a vibrant remote environment.

As a Senior Data Engineer at SoSafe, you will work on projects that involve building scalable and secure data delivery mechanisms, enhancing our data infrastructure, and ensuring the quality and reliability of data across various systems. These projects will aim to power our product roadmap and improve customer experiences while addressing challenges in the cybersecurity space.

In designing data pipelines, I prioritize scalability and reliability. I start by understanding the data sources and business needs, then choose appropriate tools like Airflow for orchestration and AWS for cloud services. It's crucial to implement monitoring and alerts to proactively manage issues, and I always aim for a CI/CD process to streamline updates.

I have over 5 years of experience with AWS, focusing on services like Redshift for data warehousing and S3 for data storage. This experience allows me to design robust, scalable architectures that can support various analytics and reporting needs, which is critical for the Senior Data Engineer role at SoSafe.

Data quality is paramount. I implement validation checks at various stages of the pipeline, automate testing with data quality frameworks, and establish robust monitoring analytics that trigger alerts for anomalies. This proactive approach minimizes errors and maintains high-quality data integrity.

I actively follow thought leaders in the data engineering space, participate in webinars, and engage with communities on forums like GitHub and Stack Overflow. Additionally, I dedicate time to experimenting with new technologies and attending industry conferences to ensure I remain at the forefront of the evolving data landscape.

I've integrated DevOps practices by using tools like Terraform for infrastructure as code and CI/CD pipelines to automate deployment processes. This has streamlined our workflows and improved collaboration with development teams, ensuring our data infrastructure is flexible, scalable, and maintainable.

I prioritize projects by assessing their impact on business objectives and aligning stakeholder interests. I maintain open communication with stakeholders to manage expectations and use project management tools to track progress, ensuring everyone is on the same page and critical deadlines are met.

Sure! I once faced a significant challenge with data ingestion speed. To solve this, I optimized our ETL pipeline using event-driven architecture, which drastically reduced latency. By streamlining data processing and implementing better load balancing, we improved throughput and reliability.

When communicating with non-technical stakeholders, I focus on simplifying complex concepts using analogies and visual aids. I emphasize the business implications of technical decisions and encourage questions, ensuring that everyone is engaged and understands the project's value.

The most important aspect of building data infrastructure is ensuring it is scalable and adaptable. I focus on designing resilient architectures that can grow with the business needs while also implementing security measures to protect sensitive data throughout the process.

I believe in fostering a collaborative work environment. In my previous roles, I initiated regular knowledge-sharing sessions and code reviews, which encouraged team members to share insights and brainstorm solutions. This has improved our code quality and strengthened team relationships significantly.