{"id":185674,"url":"https://alion.io/job/zeta-global-data-engineer-data-cloud-international","title":"Data Engineer, Data Cloud International","company":{"id":5444,"name":"Zeta Global","domain":"zetaglobal.com","url":"https://alion.io/company/zeta-global","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":52,"ghost_share":0,"stale_share":0.346,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Copenhagen, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":154000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Prefect","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-01T15:05:11Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-19T16:16:58Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":47},"description":"The Role\nZeta Global is seeking a Data Engineer to help accelerate the operationalization of Zeta’s Data Cloud across international markets.\nSitting 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.\nThe 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.\nYou 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.\nYou will also use AI-assisted tools and automation techniques to improve data evaluation, documentation, workflow generation, and internal productivity.\nThe 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.\n\nRoles & Responsibilities\nBuild and automate data workflows for new and existing data partnerships.\nCreate repeatable ingestion, transformation, and replication processes for partner data feeds.\nEvaluate incoming datasets for structure, usability, coverage, completeness, and quality.\nWrite scripts to transform, normalize, move, and prepare data for analysis or downstream use.\nUse SQL and Athena to query large datasets, validate outputs, and generate reporting tables or extracts.\nBuild lightweight validation checks for files, schemas, counts, formats, and expected values.\nProduce clear technical documentation, including field mappings, data dictionaries, process notes, data flow summaries, and partner integration documentation.\nUse AI-assisted tools where appropriate to accelerate data investigation, documentation, code generation, workflow prototyping, and repeatable analysis.\nCommunicate with technical contacts at data partners via email and occasional technical calls.\nHelp translate partner data delivery requirements into practical ingestion and automation workflows.\nWork with internal teams across Operations, Product, Engineering, Compliance, and Data Cloud.\nContribute to reusable templates, naming conventions, and documentation standards for partner data onboarding.\n\nRequired Qualifications\nStrong written and spoken English is required, as the role works across international teams and external data partners.\n3-5 years of relevant experience, or equivalent practical experience, in data engineering, analytics engineering, technical data operations, cloud data automation, or a similar role.\nPractical experience writing SQL to query, validate, and transform data.\nHands-on experience with Python for scripting, automation, or data manipulation.\nFamiliarity with AWS data services, especially S3 and Athena; experience with Glue is strongly preferred.\nUnderstanding of ETL/ELT concepts and how data moves between systems.\nExperience working with structured and semi-structured data formats, including large delimited files, JSON, Parquet, or ORC.\nComfortable reading technical documentation and working with API-based data sources.\nAbility to work with large datasets and investigate issues in schemas, counts, formats, or transformation outputs.\nComfortable collaborating with internal technical teams and external partner technical contacts.\nAble to work independently on defined tasks while escalating ambiguity, blockers, or risks appropriately.\n\nRequired Skills\nBusiness-level English communication\nSQL\nPython\nAWS S3, Athena, and Glue / Glue Data Catalog\nETL/ELT workflows\nData ingestion and replication\nAPIs and file-based data exchange\nAirflow, Prefect, or similar orchestration tools\nSnowflake, Databricks, Redshift, Hive, Presto, or similar data platforms\nGit or similar version control\nData validation and quality checks\nData dictionaries, field mappings, and technical documentation\nStructured and semi-structured data formats, including JSON, Parquet, ORC, and large delimited files\nWorking knowledge of S3 policies, IAM permissions, and secure data access patterns\nPractical use of AI-assisted development, documentation, or data analysis tools","description_format":"text","description_chars":4488,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Denmark","iso":"DK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","Email Marketing","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-09-01T15:30:54Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.789,"p_room":0.72,"age_days":47,"expected_fill_days":81,"reasons":["conf:1","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/zeta-global-data-engineer-data-cloud-international","json_url":"https://alion.io/job/zeta-global-data-engineer-data-cloud-international.json","meta":{"generated_at":"2026-10-19T18:35:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14449,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5444},"rest":"https://alion.io/mcp/rest/get_company?id=5444"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzeta-global-data-engineer-data-cloud-international"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzeta-global-data-engineer-data-cloud-international"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzeta-global-data-engineer-data-cloud-international"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zeta-global-data-engineer-data-cloud-international\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzeta-global-data-engineer-data-cloud-international"}]}