DAZN seeks a highly skilled Data Engineer to join their Advertising Data Team. Responsibilities include designing, developing, and implementing data-driven solutions for complex advertising problems; leading the development and optimization of data processing pipelines; writing efficient code in Python and SQL; collaborating with cross-functional teams on data modeling and analysis; and staying updated on industry trends. The ideal candidate will possess strong programming fundamentals, expert-level knowledge of SQL, Python, and Apache Spark, and experience building scalable data processing pipelines. A Bachelor's or Master's degree in a related field and 4+ years of experience are required.
Must have:
Expert in SQL, Python, Apache Spark
4+ years experience in data engineering
Build scalable data pipelines
Data modeling and analysis expertise
Strong problem-solving skills
Good to have:
Machine learning algorithms
Statistical analysis
Experience with Git and DevOps tools
Understanding of advertising
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We are seeking a highly skilled and experienced Data Engineers to be the backbone of our Advertising Data Team. The ideal candidate will possess a strong foundation in programming fundamentals, expert-level knowledge of SQL, Python, and Apache Spark. You will play a pivotal role in developing complex advertising pipelines and algorithms, designing scalable software solutions, and driving our data-centric projects to success.
At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So, if you want to push boundaries and make an impact, DAZN is the place to be
As part of our team,you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.
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Responsibilities
Design, develop, and implement advanced data-driven solutions to complex advertising problems.
·Lead the development and optimization of our data processing pipelines
·Write clean, efficient, and well-documented code in Python and SQL.
·Collaborate with cross-functional teams to understand, develop and guide data modeling, analysis, and engineering solutions.
·Stay abreast of industry trends and advancements in data science and software engineering to drive innovation within the team.
Qualification
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
·4+ years of professional experience in data science and software engineering.
·Strong programming fundamentals, with proficiency in Python and SQL.
·Demonstrated experience in building scalable data processing pipelines and data modeling.
·Familiarity with machine learning algorithms, and statistical analysis is a plus.
·Excellent problem-solving skills and the ability to work on complex issues that require in-depth analysis and evaluation.
·Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
·Experience with version control systems (e.g., Git) and DevOps tools is a plus.