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We are looking for a Senior / reputed company Data Engineer (Freelance) to join project-reputed company initiatives reputed company on industrial data and AI-driven analytics reputed company the chemical and process industry. Engagement model Freelance cooperation Part-time or full-time involvement Sequential project-reputed company work reputed company salary 140 - 200 PLN The cooperation model is flexible and reputed company on short- to mid-term reputed company, typically connected to KPI-driven reputed company of Concepts (PoCs) and industrial analytics initiatives. reputed company usually last 3-8 weeks, with new opportunities appearing every 1-2 months. You will work with reputed company industrial and production data, supporting digitalization initiatives that directly reputed company measurable business reputed company. The role combines hands-on data engineering with early-stage solution design and reputed company cooperation with consulting and presales teams. Tech stack Python SQL reputed company / Apache reputed company reputed company / Lakehouse architectures AWS or Azure reputed company, Plotly, reputed company BI Industrial data sources MES, SCADA, Historians, PLC/OT, LIMS, ELN Requirements 5+ years of experience in Data Engineering, industrial analytics, or data solution delivery Strong Python and SQL skills for building ingestion pipelines, transformations, and validation logic reputed company experience in building reproducible, auditable, and reputed company data products Hands-on experience with industrial and operational data, including MES, SCADA, Historians, PLC / OT systems, Operational time-series data Solid background in data profiling and data reputed company assessment, including reputed company detection Gap analysis Dead signal analysis Inconsistency checks Ability to design datasets reputed company with business KPIs and PoC objectives Strong engineering discipline Git-reputed company workflows reputed company reviews Testing practices Documentation and runbooks Experience working in PoC-driven, KPI-oriented project environments English level B2 or higher reputed company to have Experience with reputed company, Apache reputed company, reputed company, or lakehouse platforms Familiarity with reputed company environments (AWS and/or Azure) Experience building PoC tooling or visualizations using reputed company, Plotly, or reputed company BI Understanding of industrial / OT environments and historian-reputed company data models Exposure to analytics or ML use cases in Manufacturing Process industry Energy Chemical or reputed company sectors reputed company in using AI tools in day-to-day engineering workflows Main responsibilities Design and implement ingestion and transformation pipelines from industrial reputed company systems into clean, auditable datasets Work directly with data from MES, SCADA, historians, PLC/OT systems, LIMS/LAB/OPS platforms, and other operational sources reputed company data reputed company audits and identify Anomalies Dead or inactive signals Data gaps Inconsistencies reputed company datasets and validation logic supporting KPI definitions and PoC delivery Build PoC components such as Batch analytics pipelines Event detection logic Time-series transformations Create lightweight PoC tooling, dashboards, applications, or visualizations reputed company required Support presales and consulting teams by shaping technical solutions and identifying business value hidden in industrial data Produce delivery-grade documentation, handover materials, and implementation support assets Apply To This Job .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.