Senior Data Engineer

🔥 3 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 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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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• Design, build, and optimize modern cloud-based data platforms powering analytics, AI, and data products • Develop reliable batch, streaming, and near-real-time pipelines for structured and unstructured data • Build ingestion, transformation, and curation workflows • Implement lakehouse architectures and medallion layering in Databricks or Fabric • Deliver high-quality datasets for analytics, machine learning, causal modeling, optimization, GenAI, LLM, RAG, and agent-based systems • Design data models and orchestrate automated workflows using Airflow, dbt, Databricks Workflows, Azure Data Factory, or equivalents • Apply event-driven and streaming architectures and implement data governance, lineage, quality, access control, and observability • Monitor data freshness, pipeline reliability, SLA adherence, performance, scalability, and cost efficiency • Enable data serving layers, APIs, feature inputs, and analytical endpoints for downstream ML and AI systems • Discover and refine business requirements through stakeholder analysis and experience-based recommendations • Collaborate with data scientists, ML engineers, analysts, platform teams, and business stakeholders • Support adoption of data products and contribute to data and AI ecosystem best practices

🎯 Requirements

• Strong hands-on experience with Apache Spark and Delta Lake • Strong programming skills in Python and SQL • Proven experience building batch and streaming data pipelines and production-grade data platforms • Solid understanding of data modeling, data quality, and governance principles • Strong, demonstrable hands-on experience with either AWS data services and the Databricks Lakehouse Platform, or Microsoft Azure/Fabric and associated data tools • Deep expertise in one cloud/platform track; Snowflake or GCP familiarity is a plus but not required • Experience with lakehouse architectures and distributed data systems • Strong understanding of scalability, reliability, and performance considerations in data pipelines • Strong problem-solving skills and collaborative approach • Experience in Agile or consulting environments is beneficial • GenAI and AI data systems experience, CI/CD for data pipelines, Terraform or CloudFormation, Kafka, Spark optimization, advanced analytics/ML workloads, or large-scale analytics/data products are nice to have • CV covering relevant experience and expertise

🏖️ Benefits

• 24 working days of paid vacation • National holidays covered • Sick leave (up to 20/year) • Unpaid leave (up to 20/year) • Medical insurance • Multisport card OR Multikafeteria • Maternity & paternity leave support • Internal workshops & learning initiatives • Professional certifications reimbursement • Participation in professional local & global communities • Growth Framework to manage expectations and define the steps to move towards the selected career • Mentoring program with the ability to become a mentor or a mentee to grow to a higher position • Progressive benefit packages—the longer you stay with the company, the more benefits you get • Flexibility, with remote and hybrid work options (country-dependent) • Career advancement, with international mobility and professional development programs • Access to cutting-edge tools, training and industry experts • Reasonable accommodations during the interview process