Marketing Technology Data Engineer

London, England, United Kingdom

Applications have closed

Take-Two Interactive Software, Inc.

Take-Two Interactive Software is a leading game publisher, creating games through its labels, Rockstar Games, 2K, Private Division, and Social Point.

View company page

Who We Are:

Take-Two develops, publishes and markets some of the world's biggest games. We publish products through our labels Rockstar Games, 2K, Ghost Story, PlayDots, Social Point as well as Private Division label and Nordeus. Our Rockstar label creates Grand Theft Auto and Red Dead Redemption, two of the most critically acclaimed gaming franchises in history. Our 2K label creates games like NBA 2K, WWE 2K, Bioshock, Borderlands, Evolve, XCOM and the beloved Sid Meier's Civilization. Our Private Division label publishes Kerbal Space Program, Ancestors and The Outer Worlds. 

The Marketing Technology team works alongside the Labels (2K, Private Division, Rockstar Games, Social Point) Marketing, Community and PR teams, managing and supporting the underlying technology stack used for Paid, Owned and Earned Marketing activity. 

While our offices are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions. 

 

The Challenge

The primary purpose of the role is to enable and further empower these teams to do what they do best – produce outstanding content. This means helping streamline their processes, alleviate bottlenecks and provide data for meaningful metrics, leveraging technology.  

Working as part of the MarTech team the Marketing Technology Data Engineer (MTDE) must have a broad range of skills. The responsibilities include the ability to develop robust end to end data pipelines of disparate data into consistent usable data. This role requires an understanding of big data pipelines and experience getting them operating without the need for manual intervention. 

The role requires a fast-paced and agile approach, with a strong focus on delivery and enabling change within a creative and rapidly changing environment. It’s demanding, but incredibly rewarding as you can directly see the results of your efforts reflected in the teams you’re working with, whilst working with leading edge technology and Marketing strategies.  

 

What You’ll Take On

  • Within the first 90 days: Learn the inventory of current data pipelines and develop a familiarity of the purpose and audience they serve. Take ownership of the operational management of several pipelines across the portfolio. 
  • Within 180 days: Take full ownership of several projects driving them toward completion: implementing a standard approach to inbound data pipelines that deliver reliable data to the end systems
  • Develop and manage stable, scalable data pipelines that cleanse, structure and integrate disparate big data sets into a readable and accessible format for end user analyses and targeting using stream and batch processing architectures. 
  • Develop and improve the current data architecture, data quality, monitoring and data availability. 
  • Collaborate with the labels to incorporate new data sources into the growing data model. 
  • Develop data quality framework to ensure delivery of high-quality data and analyses to stakeholders. 
  • Overall responsibility for maintenance of enterprise wide data dictionary. 
  • Define and implement monitoring and alerting policies for data solutions. 
  • Comfort in working with business customers to gather requirements and gain a deep understanding of varied datasets. 

 

What You Bring

  • Experience with large data sets and distributed computing (Hive/Hadoop) 
  • 4+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. 
  • 4+ years of hands-on experience working with AWS technologies stack including Redshift, RDS, S3, EMR, Treasure Data, Snowflake or similar solutions build around Hive/Spark etc. 
  • 4+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries. 
  • Proven track record of delivering big data solutions – batch and real-time. 
  • Ability to design, develop and automate scalable ETL and reporting solutions that transforms data into accurate and actionable business information. 
  • Experienced in testing and monitoring data for anomalies and rectifying them. 
  • Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.  
  • Experience with the following tech:
    • Presto SQL 
    • Hive SQL 
    • Digdag 
    • Embulk 
    • Python

Great to Have:

  • Hands on experience with Treasure Data 
  • Developing solutions using Docker 
  • Experience with CDPs or DMPs 
  • GDPR / CCPA compliance experience 
  • Experience with CRM platforms such as Salesforce 
  • Familiarity with Marketing Technologies 
  • Experience working in an agile environment 
  • Previous gaming industry experience 

 

What We Offer You:

  • Great Company Culture. We pride ourselves as being one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
  • Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
  • Work Hard, Play Hard. Our employees’ bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, our onsite Gym, company parties, our Office bar, game release events, monthly socials, and team challenges.
  • Benefits. Benefits include, but are not limited to Private healthcare with Bupa, Private dental with Bupa, A double matching pension policy where the employer will double match up to a 4% contribution from the employee, Employee stock purchase scheme with a 15% discount, Eye tests and vouchers towards glasses, Cycle to work scheme, Flu vouchers, Annual health checks with Bupa, 4X death in service insurance, Income protection (60% salary), 26 days holiday, + other great perks and great office facilities!
  • Perks. Gym reimbursement up to £50 per month, an onsite Gym, an Office bar, employee discount programs, free games & events, stocked pantries, a dog friendly workplace and the ability to earn £350+ per year for taking care of yourself and more!

 

Take-Two Interactive Software, Inc. (“T2”) is proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization.  Employment at T2 is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

Tags: Agile AWS Big Data Data pipelines Docker ELT ETL Hadoop Pipelines Python Redshift Snowflake Spark SQL Testing

Perks/benefits: Flex vacation Health care Insurance Pet friendly Startup environment Team events

Region: Europe
Country: United Kingdom
Job stats:  4  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.