Senior Software Engineer

Job Title:Senior Software Engineer - Data Engineering

Location:UK, Ireland OR Israel

About Us:

We are a Series A-funded, fast-growing startup revolutionizing data-driven decision-making for platform and security teams in Fortune 500 companies. Our innovative solutions transform raw data into actionable insights that drive efficiency, improve security, and optimize operations. We are seeking a passionateSenior Software Engineer - Data Engineeringto join our dynamic team and help us build world-class data platforms.

Role Overview:

As a Senior Software Engineer - Data Engineering, you will play a pivotal role in designing and implementing robust, scalable data systems that enable real-time processing and large-scale data transformation. You will collaborate with cross-functional teams to develop innovative solutions, optimize existing pipelines, and ensure data quality and integrity. This is an opportunity to work with cutting-edge technologies and directly influence our core platform, enhancing its capability to deliver actionable insights for enterprise clients.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines to process, transform, and manage high-volume datasets, ensuring reliability, scalability, and performance.
• Collaborate with product, engineering, and leadership teams to build data systems that align with business objectives and deliver actionable insights for clients.
• Implement and maintain real-time data streaming and batch processing solutions using tools like Kafka, Spark, and Airflow.
• Contribute to the development and maintenance of core SDKs and APIs, supporting the integration and utilization of our open-source data platform.
• Manage and enhance data storage and processing systems, including Snowflake, AWS S3, RDS, and Redshift, optimizing performance for analytical workloads.
• Ensure data quality and integrity through validation frameworks, automated testing, and monitoring pipelines.
• Mentor and guide junior team members, fostering best practices in software development and data engineering.
• Drive continuous improvements in development processes, deployment pipelines, and system monitoring to enhance team velocity and system reliability.

Requirements:

• Experience:6+ years of professional experience in software and data engineering, with a proven track record of building and maintaining scalable data systems.
• Programming Skills:Proficiency Go (Golang); experience with additional languages like Python/Java or Scala is a plus.
• Data Processing:Expertise in real-time data streaming (Kafka) and batch processing frameworks (Spark, Airflow).
• Data Warehousing:Hands-on experience with Snowflake, Redshift, or similar cloud-based data warehouses.
• Cloud Technologies:Strong experience with AWS (Lambda, S3, RDS, Redshift, Athena) or other major cloud providers (GCP, Azure).
• Database Expertise:Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Development Practices:Familiarity with CI/CD, version control (Git), and infrastructure as code (Terraform, Kubernetes).
• Problem-Solving:Strong analytical and debugging skills, with the ability to optimize system performance and troubleshoot complex issues.
• Communication:Excellent written and verbal communication skills, with the ability to document processes clearly and collaborate across teams.
• Adaptability:Self-motivated and resourceful, with the ability to thrive in a fast-paced, dynamic environment.

Preferred Qualifications:

• Worked in a lean/agile team or startup (You will be the only data focused engineer)
• Experience contributing to or managing open-source projects.
• Familiarity with machine learning workflows and data preprocessing for ML models.
• Experience with tools like Snowplow, DBT, or other modern data stack components.
• Knowledge of asset inventory management systems or related domains.

What We Offer:

• Competitive salary and equity options.
• Opportunity to work with cutting-edge technologies and make a significant impact on our core platform.
• Flexible working hours and a remote-first environment.
• Professional growth opportunities, including mentorship and access to industry-leading tools and resources.
• Collaborative, inclusive company culture with a focus on innovation and employee well-being.