Lead Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 Poland, Spain, +3 more countries – Remote

🇵🇱 Poland – Remote 🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote 🇧🇬 Bulgaria – Remote 🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Trinetix

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Trinetix is a trusted digital product partner to world-renowned enterprises and fast-growing brands globally. With 13 years of industry experience and over 900 talents globally, Trinetix specializes in transforming operational, business, and tech models to create 360-degree value. They offer a range of services such as AI and generative AI services, enterprise software development, experience design, and intelligent automation. Trinetix helps clients navigate digital transformation with ease, focusing on innovation and tech excellence to unlock growth opportunities and broaden strategic horizons. Their key industries include professional services, logistics, healthcare, and financial services, among others.

📋 Description

• Lead design and implementation of data pipelines, transformations, and curated datasets • Translate business requirements into structured data solutions and models • Guide and execute development of reusable, analytics-ready data assets • Ensure consistency in how key data elements are defined and used across systems • Collaborate with stakeholders to define and refine data requirements and logic • Review and guide engineering work to ensure quality, performance, and scalability • Establish best practices for data engineering, transformation, and data quality • Support integration of data across multiple domains and systems • Contribute to architecture decisions across data platforms and tooling • Mentor and support other engineers on the team

🎯 Requirements

• 5+ years of experience in data engineering, analytics engineering, or related fields • Strong SQL expertise and experience designing complex data transformations • Hands-on experience with modern data platforms such as GCP BigQuery, Databricks, or Snowflake • Experience with ELT or ETL, orchestration tools such as Airflow or dbt, Spark, data warehouses and lakehouses, streaming such as Kafka or Kinesis, metadata, and data quality • Proficiency in Python • Strong understanding of data modeling concepts and data structuring for analytics • Experience working with stakeholders to define requirements and deliver data solutions • Ability to balance hands-on delivery with technical guidance • Familiarity with data governance, lineage, or metadata management concepts • Experience working with cross-domain data • Exposure to financial services or other data-intensive industries • Experience supporting migration or evolution of data platforms • Experience with orchestration tools such as Airflow or Cloud Composer • Exposure to data modeling concepts such as dimensional models, data marts, and reusable datasets

🏖️ Benefits

• Impact at scale: Help shape enterprise AI, software, and data programs across industries • Growth and mastery: Work with a seasoned team from leading consulting and technology backgrounds • Build real products: Work on production ready assets with autonomy over key technical decisions