Data Engineer

Summary

Join Adthena, an award-winning search intelligence platform, and help shape the future of paid search intelligence. We offer a unique blend of startup energy and the stability of a well-established company, providing autonomy and accelerated growth. As a Data Engineer, you will work on the entire stack, shaping the architecture of complex data systems and collaborating with Web and Data Science teams. You will utilize modern tools, including Gen AI assistants, to enhance development and team efficiency. Adthena boasts a strong company culture, as evidenced by high employee approval ratings and numerous awards. We provide a comprehensive benefits package, including remote-first work options, flexible hours, generous paid time off, and various other perks.

Requirements

Bachelor's degree in Computer Science, a similar technical field of study or equivalent practical experience

Responsibilities

• Understand distributed technologies and the best practices around them
• Build and maintain services/features/libraries that serve as definitive examples for new engineers
• Design and write effective, complex Spark jobs (data processes, aggregations, pipeline)
• Design and write complex asynchronous, highly parallel, low-latency APIs and processes
• Use Gen AI tools (e.g. code assistants, AI docs) to boost speed, quality, and team efficiency
• Work as part of an Agile team to maintain, improve, and monitor Adthena's data collection processes using Scala and Java
• Apply industry practices such as TDD and SOLID, and also Adthena's Engineering Practices
• Understand and be able to apply data structures and algorithms
• Understand Adthena's data architecture and use appropriate design patterns
• Design and implement databases for relational and non-relational storage technologies
• Support our Data Science team to help deliver their machine learning models into production environments
• Be empathetic towards team members and customers

Preferred Qualifications

• Commercial experience developing Spark Jobs using Scala
• Commercial experience using Java and Scala (Python nice to have)
• Experience in data processing using traditional and distributed systems (Hadoop, Spark, AWS - S3)
• Experience designing data models and data warehouses
• Hands-on experience applying Gen AI tools to accelerate coding, debugging, or system design
• Strong understanding and application of data structures and algorithms in building efficient solutions
• Experience in SQL, NoSQL database management systems (PostgreSQL and Cassandra)
• Commercial experience using messaging technologies (RabbitMQ, Kafka)
• Experience using orchestration software (Chef, Puppet, Ansible, Salt)
• Confident in building complex ETL workflows (Luigi, Airflow)
• Good knowledge of working with cloud technologies (AWS, GCP)
• Good knowledge of using monitoring software (ELK stack)
• Motivated problem-solving skills, ability to bring ideas forward and adapt solutions to complex challenges

Benefits

• Startup Engineering culture
• Strong Culture: Our quarterly surveys show a 93% average approval rating for company culture, with an overall eNPS of 27
• Award-Winning Product: Best AI Search Software Solution, Global Search Award 2024"
• Stock Options: Our employees do incredible work, so as we grow, everyone shares the rewards
• Trust-Based Vacation: Take as much time off as you need, when you need it
• Remote-First: 52% of Adthenian’s work fully remote, with others choosing Hybrid Work at our 3 Geohubs (London, Austin, Sydney)
• Flexible Work: Work how and where you do your best, with full autonomy over your day
• Career Growth: Bespoke training and career development via "Sherpa plans” to guide your growth
• Monthly Hackdays & Training Days
• Family Care Package: Up to 6 months fully paid maternity leave, and 2 months paternity leave
• Home Office Stipend: $200 for your ideal remote setup
• Swag Welcome Gift: $70 credit to grab some merch
• Birthday Day Off: Celebrate your special day
• Regular Socials: Summer & Christmas parties, annual and quarterly offsites, monthly meet-ups. See here for more info
• Volunteer Days: Make a difference with paid volunteer time each quarter. See here for more info