Lead Data Engineer (Remote)

Lead Data Engineer | Digital Turbine, Inc. | Poland

At Digital Turbine, we make mobile advertising experiences moremeaningful and rewarding for users, app publishers, and advertisers —intelligently connecting people in more ways, across more devices. Weprovide app publishers and advertisers with powerful ads and experiencesthat captivate consumers, fuel performance, and help telecoms and OEMssupercharge awareness, acquisition, and monetization. In a rapidly evolving...

Lead Data Engineer | Digital Turbine, Inc. | Poland

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

We are looking to hire a Lead Data Engineer that can use insightful data to transform our systems and architecture, and make a long-term impact on our technical ecosystems. With a statistically minded approach, you will transform our data to tackle business challenges and challenge our technical capabilities.

About the role:

Key Responsibilities of the Lead Data Engineer:
Provide technical leadership and key decision making
Continuous effort to automate and increase team efficiency
Maintain high standards of software quality via code review, testing, automation standardization, and tooling
Collaborate directly with both developers and business stakeholders
Provide estimates and risk-reducing spike stories
Assist in collection and documentation of requirements from business
Assist in planning deployments and migrations
Analyze data problems and provide solutions
Assess opportunities for improvements and optimization

About you:

Strong experience working with open source databases
Strong experience working with ETL and related data pipeline technologies.
Highly proficient in open source SQL systems, particularly MySQL and PostgreSQL
Proficiency in multiple languages, including Python and Scala
Demonstrable experience with cloud-based ETL tools, EMR, Spark on K8s, or Databricks
Expertise with distributed data stores, with demonstrable experience using data lakes and with optimizing query performance
Deep understanding of data structures and schema design
Prior work with AWS or GCP ecosystems (GCP Preferred)
Exceptional analytical, organizational, interpersonal, and communication (both oral and written) skills
Self-motivated, driven, resourceful, and able to get things done
Enjoy working in fast-paced, collaborative, Agile environments
Ability to adapt and learn quickly is a fundamental necessity
Master’s Degree or equivalent work experience

About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.

Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes.

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