Azure Data Engineering Architect, Freelance

🕒 September 17

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.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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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions • Design and oversee scalable, performant, secure, maintainable data architecture and infrastructure • Define data models and schemas based on business needs and data characteristics • Select and integrate databases, data lakes, data warehouses, and big data frameworks • Create scalable ETL processes, data pipelines, and data integration solutions • Align data engineering solutions with the organization's long-term data strategy • Evaluate and recommend data governance, privacy, security, and compliance practices • Collaborate with data scientists, analysts, and stakeholders to define data requirements and enable analysis and reporting • Provide technical guidance to data engineering teams and support implementation • Oversee implementation according to design documents and technical specifications • Monitor emerging data engineering trends and recommend innovative solutions • Analyze and optimize system performance, resolving bottlenecks and inefficiencies • Ensure data quality and integrity through validation and monitoring • Integrate data engineering solutions with other systems and applications • Participate in project planning and estimation • Document data architecture, infrastructure, and design decisions

🎯 Requirements

• Proven work experience as a Data Engineering Architect or in a similar role • Strong experience in the Data & Analytics area • Strong understanding of data modeling, ETL processes, data pipelines, and data governance • Expertise in designing and implementing scalable and efficient data processing frameworks • In-depth knowledge of relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks such as Hadoop and Spark • Experience selecting and integrating technologies to meet business requirements and long-term data strategy • Ability to translate stakeholder business needs into data engineering solutions • Strong analytical and problem-solving skills • Proficiency in Python, PySpark, and SQL • Familiarity with AWS, GCP, or Azure and experience designing and implementing cloud data solutions • Knowledge of data governance principles, data privacy, and security regulations • Excellent communication and collaboration skills • Experience leading and mentoring data engineering teams • Familiarity with agile methodologies and agile development environments • Continuous learning mindset • Strong project management skills • Strong understanding of distributed computing principles, including parallel processing, data partitioning, and fault tolerance • Bachelor's degree in Computer Science, Information Technology, or a related field • Master's degree may be preferred

🏖️ Benefits

• Inclusive workplace committed to diversity, equity, and inclusion • Equal opportunities • Safe and respectful workplace • Environment where employees feel valued and empowered to learn and grow

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