{"id":2124078,"url":"https://alion.io/job/shorthand-data-engineer-all-genders","title":"Data Engineer (all genders)","company":{"id":13520,"name":"Shorthand","domain":"shorthandstories.com","url":"https://alion.io/company/shorthandstories","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":86000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T09:00:21Z","employer_posted_date":null,"last_verified_at":"2026-10-05T09:00:21Z","board_verified":false,"closed_at":null,"days_open":14,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":14},"description":"Our Opening and Your Responsibilities\nThe Data Engineer (all genders) will design, build and maintain METTLER TOLEDO’s central data platform supporting analytics, data distribution and AI/ML initiatives. This role involves developing scalable data pipelines, ensuring high-quality and secure data flows, and contributing to the foundation that powers advanced analytics and business insights across the organization. \nThe person on this position will work closely with data scientists, analysts, and business stakeholders to design, build, deliver and support trusted, well‑structured and secure high quality data for operational, analytical and AI/ML use cases.\nPrincipal Duties and Responsibilities\nContribute to the development of the enterprise data lake/lakehouse using modern technologies (Databricks, Snowflake),\n\nBuild and maintain data integration pipelines for batch and streaming data between internal systems, external partners and cloud services,\n\nImplement ETL/ELT and reverse ETL processes to support analytics, reporting and AI/ML workloads,\n\nDevelop, optimize, and maintain scalable data pipelines for structured, semi structured, and unstructured data,\n\nMonitor, troubleshoot, support and resolve any issues with data pipelines and data availability,\n\nAutomate ingestion, transformation, and distribution workflows using orchestration tools,\n\nCreate and maintain metadata catalogs, data lineage and feature stores,\n\nCollaborate closely with cross-functional teams and business stakeholders to understand data requirements and deliver efficient technical solutions,\n\nEvaluate and adopt new tools and technologies to improve platform performance, cost management and engineering practices,\n\nFollow best-in-class development, testing, and documentation standards, especially also using CI/CD pipelines,\n\nApply and maintain data quality rules ensuring accuracy, completeness, and consistency across pipelines.\n\nWhat You Need to Succeed\nBachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical field,\n\n3+ years of hands-on experience in data engineering or a similar role,\n\nVery good knowledge of English (written and spoken),\n\nStrong experience with:\n\n- Data processing frameworks: Apache Spark, Snowflake or Databricks,\n- Data storage technologies: Lakehouse/Delta Lake, data lakes,\n- Programming languages: Python, SQL.\nSolid understanding of data modeling, ETL/ELT, and data warehousing principles,\n\nExperience with orchestration tools (e.g., Airflow, Prefect),\n\nFamiliarity with cloud platforms (preferably Azure),\n\nExperience with metadata management tools,\n\nStrong analytical and problem solving skills,\n\nAbility to work collaboratively in a cross-functional environment.\n\nOur Offer to You\nContract of employment [umowa o pracę], we are looking for a long term cooperation,\n\nAnnual reward,\n\nFlexible working hours,\n\nHybrid work model,\n\nA diverse and inclusive workplace.\n\nFestive benefits paid in April and December,\n\nMedical care with basic dental package (Medicover), with possibility to extend to Damian Medical Center?,\n\nPossibility to extend medical care to family members,\n\nLife insurance with possible extended scope,\n\nSports card (Medicover),\n\nLanguage courses,\n\nA vast training offer to support your development,\n\nWellbeing activities, CSR, with space for your initiatives*\n\nDiscounts for meals and special offers at Platan Business Park.\n\n*We are focusing on entertainment and supporting your physical and mental health – check out our LinkedIn profile!\nThe recruitment process consists of the following steps:\nCV selection – we contact selected candidates\n\nPhone screening with a recruiter (approx. 15 min)\n\nInitial interview with the Manager and Recruiter (video conference, approx. 1,5 hour)\n\nF2F meeting at the office with the Manager (approx. 1 hour)\n\nThe information obligation arising from Article 18 [3ca] of the Labor Code is fulfilled before establishing the employment.\nAbout Mettler Toledo\nMETTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit www.mt.com.\nEqual Opportunity Employment\nWe are an equal opportunity employer and value diversity at our company. We give consideration for employment without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, or any other protected classification. You can find more details in our Equal Employment Opportunity Policy.\nTech stack\nData Processing Frameworks\nData storage technologies\nSQL\nPython","description_format":"text","description_chars":4880,"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":[]},"benefits":["Flexible schedule","Hybrid work","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment"],"lifecycle":[{"event":"open","at":"2026-10-08T23:50:21Z"}],"visa":[],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.801,"p_room":0.9,"age_days":13,"expected_fill_days":22,"reasons":["seen:13","win:mid"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/shorthand-data-engineer-all-genders","json_url":"https://alion.io/job/shorthand-data-engineer-all-genders.json","meta":{"generated_at":"2026-10-19T15:44:26Z","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":11716,"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":13520},"rest":"https://alion.io/mcp/rest/get_company?id=13520"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fshorthand-data-engineer-all-genders"},{"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%2Fshorthand-data-engineer-all-genders"},{"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%2Fshorthand-data-engineer-all-genders"},{"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/shorthand-data-engineer-all-genders\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fshorthand-data-engineer-all-genders"}]}