Data Engineer

🔥 0 minutes ago

🌐 Czechia, Poland – Remote

🇨🇿 Czechia – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RWS Group

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

RWS Group is a leading provider of AI-powered language services and technology, specializing in translation and localization for a variety of industries. With a focus on enhancing global communication, RWS offers solutions that improve translation quality, manage multilingual content, and streamline the localization process. Their services cater to sectors such as aerospace, finance, legal, life sciences, and technology, leveraging advanced AI to ensure clients can effectively connect across languages and cultures.

📋 Description

• Build and manage robust data pipelines bridging on-premise SQL Server environments and GCP • Implement Change Data Capture (CDC) and streaming updates to synchronize cloud data • Design and refine BigQuery architectures using partitioning and clustering for performant, cost-effective queries • Use Cloud Composer (Airflow), Dataform, SSRS, and Databricks to schedule and monitor complex workflows • Own pipeline health, troubleshoot failures, and ensure data quality across Star and Snowflake schemas • Collaborate with analysts and business leads to translate business needs into technical requirements • Support Analytics and AI teams building data systems for global language services

🎯 Requirements

• Proven experience in data engineering or data warehousing, owning the full lifecycle of a data pipeline • Mastery of T-SQL, including stored procedures, CTEs, and query tuning • Experience moving data via SSIS or similar tools • Hands-on experience with GCP, particularly BigQuery and Cloud Storage (GCS) • Strong Python skills for scripting, API interactions, and data manipulation using Pandas or PySpark • Deep understanding of dimensional modelling and scalable schema design • Familiarity with Cloud Dataflow, Dataproc, or Cloud Composer • Experience using Terraform to provision cloud resources • Familiarity with CI/CD pipelines, GitHub Actions or Jenkins, and Git version control • Experience using Pub/Sub for messaging and streaming ingestion • Knowledge or experience implementing a Data Mesh and Data Products

🏖️ Benefits

• Equal employment opportunity and non-discrimination • Work environment free of discrimination and harassment • Opportunities for individual growth and career development • Global, inclusive work environment • Collaboration with colleagues and clients across global operations