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• Strong written and spoken English is required, as the role works across international teams and external data partners.
• 3–5 years of relevant experience, or equivalent practical experience, in data engineering, analytics engineering, technical data operations, cloud data automation, or a similar role.
• Practical experience writing SQL to query, validate, and transform data.
• Hands-on experience with Python for scripting, automation, or data manipulation.
• Familiarity with AWS data services, especially S3 and Athena; experience with Glue is strongly preferred.
• Understanding of ETL/ELT concepts and how data moves between systems.
• Experience working with structured and semi-structured data formats, including large delimited files, JSON, Parquet, or ORC.
• Comfortable reading technical documentation and working with API-based data sources.
• Ability to work with large datasets and investigate issues in schemas, counts, formats, or transformation outputs.
• Comfortable collaborating with internal technical teams and external partner technical contacts.
• Able to work independently on defined tasks while escalating ambiguity, blockers, or risks appropriately.
Zeta Global is seeking a Data Engineer to help accelerate the operationalization of Zeta’s Data Cloud across international markets.
Sitting within the Data Cloud International / commercial data partnerships function, this position will work closely with Business Operations, Applications, Product, Engineering, Compliance, and external partner technical teams.
The focus is practical data engineering: turning high-potential data partnerships into usable, repeatable, revenue-generating Data Cloud assets that support product innovation, market expansion, and commercial growth through disciplined evaluation, ingestion, transformation, validation, and documentation.
You will work primarily across AWS-based data workflows, using tools such as S3, Athena, Glue, SQL, Python, APIs, and orchestration frameworks such as Airflow. This is a hands-on, delivery-focused position suited to someone who enjoys turning technical data requirements into practical workflows.
You will also use AI-assisted tools and automation techniques to improve data evaluation, documentation, workflow generation, and internal productivity.
The position is based in Copenhagen, Denmark. Candidates should be able to commute regularly to the Copenhagen office, located in Copenhagen or near Copenhagen Central Station.
• Build and automate data workflows for new and existing data partnerships.
• Create repeatable ingestion, transformation, and replication processes for partner data feeds.
• Evaluate incoming datasets for structure, usability, coverage, completeness, and quality.
• Write scripts to transform, normalize, move, and prepare data for analysis or downstream use.
• Use SQL and Athena to query large datasets, validate outputs, and generate reporting tables or extracts.
• Build lightweight validation checks for files, schemas, counts, formats, and expected values.
• Produce clear technical documentation, including field mappings, data dictionaries, process notes, data flow summaries, and partner integration documentation.
• Use AI-assisted tools where appropriate to accelerate data investigation, documentation, code generation, workflow prototyping, and repeatable analysis.
• Communicate with technical contacts at data partners via email and occasional technical calls.
• Help translate partner data delivery requirements into practical ingestion and automation workflows.
• Work with internal teams across Operations, Product, Engineering, Compliance, and Data Cloud.
• Contribute to reusable templates, naming conventions, and documentation standards for partner data onboarding.
Other benefits are as per company policy.
Work at office
Internship
Copenhagen, Denmark
Applications for this job are handled on the company's own website.
এই চাকরির জন্য বিজ্ঞাপনদাতা ব্যক্তি/প্রতিষ্ঠান আপনার কাছ থেকে কোন অর্থ চাইলে কিংবা নিয়োগ প্রক্রিয়া চলাকালীন কোন প্রকার হয়রানিমূলক (শারীরিক/মানসিক) আচরণ করলে অতিসত্বর আমাদেরকে জানান অথবা জবটি রিপোর্ট করুন। চাকরি পাওয়ার জন্য কোন ব্যক্তি/প্রতিষ্ঠানকে অর্থ প্রদান করবেন না। চাকরিকালীন কোন প্রকার হয়রানির (শারীরিক/মানসিক) সম্ভাবনা থাকলে সেখানে জয়েন করবেন না। কোন প্রকার অর্থ লেনদেন বা নিয়োগদাতা কর্তৃক হয়রানির দায়িত্ব Chakrie বহন করবে না।
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