At a Glance
- Tasks: Join our Data Exchange team to develop and maintain complex data infrastructure.
- Company: Zeta Global, a leading data and AI-powered marketing technology company.
- Benefits: Flexible work arrangements, autonomy, and opportunities for career advancement.
- Other info: Opportunity to shape the future of technology while enjoying a stimulating and supportive workplace.
- Why this job: Work with cutting-edge technologies and collaborate with top professionals in a dynamic environment.
- Qualifications: Strong background in data analysis or software development; curiosity and self-motivation are key.
The predicted salary is between 45000 - 55000 £ per year.
Zeta Global is seeking a talented and versatile Data Engineer to join our Data Exchange team within our highly skilled development office in Copenhagen. This team plays a critical role in developing and deploying Zeta’s next-generation data science and engineering technology, collaborating closely with our global teams in the US, Europe, India and Philippines.
The Copenhagen office boasts a dynamic and focused environment, comprising a core group of start-up veterans and approximately 30 highly skilled professionals. As a member of the Data Exchange team, you will contribute to the analysis, development, and maintenance of our complex data infrastructure, a sophisticated ecosystem of interconnected systems. This team tackles a continuous stream of challenging projects originating from across the organization, demanding a high degree of expertise and innovation.
We are seeking candidates with a strong foundation in data engineering, data analysis, and software development principles, and a demonstrated interest in exploring the intersections between these disciplines.
The ideal candidate for the Data Engineer position at Zeta Global Copenhagen is a highly motivated and analytical individual with a passion for understanding complex (software) systems. You are adept at using data to identify issues, formulate solutions, and develop robust data pipelines and software. You thrive in an environment that offers significant autonomy in planning and executing your work, yet you are also a strong collaborator, readily engaging with fellow developers and international product stakeholders.
You will be involved in every stage of the development process, from initial brainstorming to ongoing maintenance, with a primary emphasis on analysis, prototyping, and development. Our development process is a dynamic blend of agile and rapid prototyping methodologies, designed to foster a culture of "flexibility under responsibility." We prioritize focused development time and believe in the power of collaborative problem-solving, encouraging team members to both seek and offer assistance readily.
We welcome candidates with a solid background in data analysis or software development, seeking professionals with proven experience or recent graduates. Regardless of your background, a crucial element is your intellectual curiosity, self-motivation, and a demonstrable ability to translate real-world challenges into data models, ETL processes, algorithms, and ultimately, functional code. A strong interest in data engineering and/or the AdTech domain, along with its associated technologies, is highly desirable, as well as knowledge of object-oriented programming languages, particularly Scala.
Minimum Qualifications
- A strong academic background in a quantitative field (Computer Science, Mathematics, Physics, or related disciplines).
- Hands-on experience in designing, building, and maintaining scalable and reliable data pipelines.
- Proficiency in Python, Scala or other OOP languages for data engineering and processing tasks.
- Strong data analysis skills, including working with large datasets.
- Knowledge of distributed data processing for batch workloads.
- Solid understanding of database technologies.
Desired Qualifications
- 2-3 years of experience with Scala for data processing.
- Strong software engineering skills, including experience with CI/CD pipelines and best coding practices.
- Familiarity with data integrations and efficient data transfers.
- Knowledge of data modeling, data warehousing concepts, and query optimization techniques.
- Experience with distributed data processing using Apache Spark.
- Experience with Airflow for workflow orchestration, scheduling, and monitoring data pipelines.
- Cloud expertise, particularly AWS, including services such as S3, Glue, Athena and EMR.
Join our dynamic team, largely comprised of Masters and PhDs in fields like Physics, Math, and Computer Science, and play a key role in shaping the future of our technology. You will collaborate with highly skilled professionals in a stimulating environment that fosters both learning and individual initiative. While we are passionate about exploring cutting-edge technologies and algorithms, we maintain a practical approach to implementing solutions.
We believe in empowering our employees with autonomy and flexibility. We offer flexible work arrangements, including adjustable office hours and the possibility of occasional remote work, provided commitments are consistently fulfilled. You will have the freedom to select your preferred operating system (Mac, Windows) and development tools, with the expectation of independent maintenance and troubleshooting. We encourage the introduction of new technologies, contingent upon demonstrating their value and gaining team buy-in. Our international presence provides ample opportunities for cross-departmental collaboration and potential career advancement in locations like Berlin, San Francisco or New York.
Data Engineer employer: zetaglobal
Zeta is an exceptional employer that fosters a culture of trust and belonging, making it a great place for the CRM Account Director to thrive. With a strong commitment to diversity, equity, and inclusion, employees are encouraged to bring their authentic selves to work while enjoying opportunities for professional growth and collaboration across cross-functional teams. Located in a vibrant area, Zeta offers a dynamic work environment where strategic thinking and client success are at the forefront, ensuring that every team member can make a meaningful impact.
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We think this is how you could land Data Engineer
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at zetaglobal, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at zetaglobal. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at zetaglobal
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at zetaglobal!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
