LoopMe is the global leader in brand performance, redefining brand advertising for the digital and app ecosystem. LoopMe was the first to apply AI to brand advertising and its Intelligent Marketplace, finding solutions to industry challenges that haven’t previously been solved. With consumer insights and AI at its core, LoopMe makes brand advertising better, outperforming industry benchmarks for leading global brands. LoopMe’s acquisition of Chartboost underscores its commitment to expand its capabilities and reinforces its position as the leading AI-powered
What We Need
We are seeking a Senior Data Engineer to join our team, helping us build and maintain a data platform that supports diverse uses. This includes data analysis, exploration, aggregation, user modeling, and scalable training systems. As part of the Data Team you will be a key player in our small, nimble, internationally-distributed team and drive significant impact all across the company's data technology and business.
As a Senior Data Engineer you will...
Use Python and Scala to develop tools with Spark, Kafka, Airflow, PostGRES, Druid, Spinnaker, and Kubernetes. We run in GCP, and primarily work with Dataproc, Dataflow, BigQuery and Big Table. You will have the opportunity to join us in exploring new technologies and use them to design, deploy and operate highly performant systems.
In this role you are expected to be comfortable working to high standards as a professional data engineer, dealing with huge amounts of business-critical data (PBs), and to contribute across a full spectrum of responsibilities from architecture to ops.
Impact you will make:
- Architect real time and batch data processing pipelines to consume from multiple systems
- Develop tools to monitor, debug, analyze and operate our data infrastructure
- Design and implement data schemas and models that can scale for hundreds of millions of users
- Collaborate closely with the product and business teams to build new features and infrastructure
- Collaborate with Data Scientists to build large scale predictive models
- Develop reliable data pipelines that convert data into powerful signals and features
- Evaluate new technologies for adoption, and organize smooth migrations
You'll Have:
- BS in Computer Science or related technical discipline
- 4+ years of experience in Data Warehousing, and SQL
- 4+ years of experience in programming in any of Python / Java / Scala
- Experience working in cloud environments, ideally with GCP or AWS
- Strong experience in improving performance of queries, data jobs, and scaling the system for exponential growth
- Expert debugging skills and emphasis on automated tests to build high quality systems
- Experience with data pipelines processing larger than 10TB of data
The following experience would be a plus:
- Experience with Spark
- Experience with Great Expectations or other Data Quality tool
- Experience with Databricks
- Experience with Apache Beam
What we can offer:
- Hybrid working meaning you can split your time between the office and home
- 1 month work from anywhere
- Self Managed Vacation Policy (no max on annual leave!)
- Healthcare
- 401k
- LoopMe Gives Back; we have a committed and active CSR team who organize regular events to hold up our pillars of Learning, Charity, Wellbeing, Responsibility and Sustainability
- We’ll set you up for success, providing training and career development
Our Compensation and Benefits (for California residents only)
{$170,000 - $200,000]
In accordance with California law, the range provided is LoopMe’s reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities and location. All employees may be eligible for other forms of compensation such as stock-based compensation, which are awarded to employees based on company and individual performance. LoopMe also offers other compensation depending on the role such as sales-based incentives and commissions.
Want to learn more about us?
Head to our Careers page to see why we've been voted one of Campaign's Best Places to Work 2023! You can find out more about our values, initiatives, teams and benefits. (Can't see the hyperlink? Find us here)
LoopMe is a technology company that uses AI to improve brand advertising performance and outcomes. Putting consumers at the heart of every campaign, LoopMe uniquely optimizes advertising investments, driving results 2-5x higher than the industry standards in mobile in-app and CTV for brand awareness, consideration, purchase intent, foot traffic and sales. LoopMe was founded in 2012 and is headquartered in the UK, with global offices across New York, Boston, Atlanta, Chicago, Detroit, San Francisco, Los Angeles, Toronto, Singapore, Sydney, Tokyo, Dnipro, Krakow and Hong Kong.
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What We Do
LoopMe, the leading outcomes-based platform, closes the loop on digital advertising. By leveraging AI to optimise media delivery in real-time, we drive measurable uplift for business outcomes and more effective advertising across online and offline marketing goals, including brand lift, purchase intent, consideration, foot traffic and sales.
LoopMe's core business helps brands and agencies achieve better advertising results powered by our AI-platform and flagship product PurchaseLoop. LoopMe's marketplace powers more effective supply and demand connections, rooted in programmatic delivery. LoopMe's robust data and analytics measurement suite, including its proprietary household and device graph, brings deep insights to various companies within the advertising industry including podcasting, out-of-home, connected TV, mobile and more.
LoopMe was founded in 2012 with the mission to create better consumer experiences through innovation, powered by data, in order to bring people and brands together. The Company is headquartered in the UK, with 15 global offices across New York, Boston, Atlanta, Chicago, Detroit, San Francisco, Los Angeles, Toronto, Singapore, Sydney, Tokyo, Dnipro, Krakow and Hong Kong.
