
Artificial Intelligence • Marketing • SaaS
Adthena is a company specialized in providing AI-driven search intelligence and brand protection solutions for enterprises. Their platform offers a comprehensive suite of tools that includes market analysis, PPC campaign optimization, and strategic insights. Adthena helps brands to dominate Google Ads performance by uncovering industry-specific market trends and optimizing advertising spend efficiency. With their unique combination of patented technology and expertise in paid search intelligence, Adthena enables organizations to make informed decisions and improve their return on advertising spend. They serve various industries including automotive, finance, and retail, and are trusted by leading global brands and agencies.
2 days ago
Airflow
Ansible
AWS
Cassandra
Chef
Cloud
Distributed Systems
ETL
Google Cloud Platform
Hadoop
Java
Kafka
NoSQL
Postgres
Puppet
Python
RabbitMQ
SaltStack
Scala
Spark
SQL

Artificial Intelligence • Marketing • SaaS
Adthena is a company specialized in providing AI-driven search intelligence and brand protection solutions for enterprises. Their platform offers a comprehensive suite of tools that includes market analysis, PPC campaign optimization, and strategic insights. Adthena helps brands to dominate Google Ads performance by uncovering industry-specific market trends and optimizing advertising spend efficiency. With their unique combination of patented technology and expertise in paid search intelligence, Adthena enables organizations to make informed decisions and improve their return on advertising spend. They serve various industries including automotive, finance, and retail, and are trusted by leading global brands and agencies.
• 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
• Bachelor's degree in Computer Science, a similar technical field of study or equivalent practical experience. • 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
• 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.
Apply Now2 days ago
Amazon Redshift
Apache
AWS
BigQuery
Cloud
Google Cloud Platform
Python
Scala
Spark
SQL
3 days ago
Data Engineer designing and maintaining scalable data solutions for international projects. Collaborating on data integration processes and ensuring data quality and integrity within cloud environments.
🗣️🇪🇸 Spanish Required
Azure
Cloud
ETL
SQL
SSIS
3 days ago
501 - 1000
Azure Databricks Data Engineer / Data Architect optimizing scalable data platforms in a modern cloud environment. Engaging in ETL/ELT development and implementing data governance frameworks.
Airflow
Apache
Azure
Cloud
ETL
NoSQL
Python
Spark
SQL
Terraform
Unity
3 days ago
501 - 1000
Azure Databricks Data Engineer designing and building scalable data platforms in Azure. Collaborating with teams for cloud migration and data governance.
Airflow
Apache
Azure
Cloud
ETL
NoSQL
Python
Spark
SQL
Terraform
Unity
3 days ago
501 - 1000
Azure Databricks Data Engineer/Architect at Miratech designing scalable data platforms in a modern cloud environment, focusing on ETL/ELT pipelines and data quality automation.
Airflow
Apache
Azure
Cloud
ETL
NoSQL
Python
Spark
SQL
Terraform
Unity