Data Engineer

Data Engineer

Location Qualifications: Bucharest (hybrid 2x week)

Position Overview: 

Hi there! ✋ Ready for your next challenge?

As a Data Engineer, you will take ownership of a critical part of our data pipeline. You’ll be responsible for managing the ingestion, processing, and storage of large-scale data events, ensuring data quality, and building endpoints for new reporting and analytics features. You’ll work with cutting-edge technologies to help us innovate and streamline our activity tracking and reporting systems.

We are a dynamic team focused on creating a state-of-the-art scalable activity tracking, reporting, and an export solution that serves as a foundation for data innovation. Our services handle the entire data lifecycle, from event ingestion and processing to storage and reporting across various APIs and data platforms.

What you’ll do: 

• Lead the pipeline from API Gateway to Kinesis, S3/Iceberg, and Athena, managing bronze and silver layers for the activity database in the Data Lake.
• Work on the Activity Capturing migration project, transitioning from our legacy events system in MySQL to S3/Iceberg and OpenSearch.
• Collaborate with cross-functional teams to improve reporting, analytics, and product features as we move from the migration phase to the feature development phase.
• Maintain and optimise the data pipeline, ensuring efficient storage and processing of events using technologies such as Iceberg, Athena, OpenSearch, dbt, Glue, & more.
• Provide support and guidance in the design and maintenance of data architectures and databases.
  
  

What We’re Looking For:

• Continuous integration and delivery mindset. You like taking ownership of your projects and have a healthy curiosity to learn more.
• Strong expertise in data pipeline management with tools and technologies such as:
• API Gateway, OpenAPI specifications
• Kinesis (Firehose/Streams)
• AWS Lambda (primarily Python-based)
• S3 storage (Apache Iceberg/Athena)
• CDK/CloudFormation (or other IAC)
• NodeJS (Typescript)
• DataLake/LakeFormation, dbt, Glue Data Catalog, etc.
• Experience in:
• OpenSearch
• Event ingestion, processing, and storage technologies
• Managing data quality and working with large-scale event-driven systems
• Clickhouse (optional)

Bonus:

• AWS Certifications such as “Certified Solutions Architect” and “Certified Data Engineer” are recommended as they cover a large portion of the expertise, but are not required as long as you can show comparable knowledge

Company Highlights: 

Founded in 2011, Showpad is the world’s leading Enablement Operating System (eOS™). We align Sales and Marketing teams around impactful content and measurable engagement, enabling sellers to build unique buying experiences and continuously improve conversion rates. Sellers close more deals – faster – with Showpad.

With dual-headquarters in Ghent and Chicago, regional offices in London, Munich and Wroclaw, and remote hubs across the US and EMEA, Showpad is powered by a diverse global workforce of more than 550 people. Our employee value proposition centers around impact, purpose and belonging. Our culture is based on flexibility, trust and setting people up for success. At Showpad, we foster inclusion, innovate for impact and never stop to raise the bar. We take serious care of our people but never take ourselves too seriously.

What you can expect from Showpad

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether it’s additional company-wide days off, paid time off to volunteer at non-profit organisations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you. 

We are committed to creating a diverse and inclusive organisation and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

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