Senior Data Engineer

🔥 8 minutes ago

🇲🇰 North Macedonia – 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 using technologies such as Spark and Delta Lake • Build ingestion, transformation, and curation workflows for structured and unstructured data • Implement lakehouse architectures and medallion layering within Databricks or Fabric • Deliver curated datasets for analytics, machine learning, causal modeling, and optimization systems • Enable GenAI pipelines, including LLM, RAG, vector-based, and agent-based data flows • Design scalable logical and physical data models • Orchestrate workflows using Airflow, dbt, Databricks Workflows, Azure Data Factory, or equivalents • Apply data governance, lineage, quality, access control, and security best practices • Establish observability for data freshness, pipeline reliability, and SLA adherence • Enable data-serving layers such as APIs, feature inputs, and analytical endpoints • Monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency • Discover, derive, and refine business requirements with stakeholders • 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

• Experienced Senior Data Engineer • 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 • Experience building production-grade data platforms • Solid understanding of data modeling, data quality, and governance principles • Strong, demonstrable hands-on experience with AWS data services and the Databricks Lakehouse Platform, or Microsoft Azure/Fabric services and tooling • Deep expertise in at least one of the AWS or Azure/Fabric platform tracks • 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 to cross-functional work • Familiarity with Snowflake or GCP is a plus but not required • Experience in Agile or consulting environments is beneficial • Experience with both AWS and Azure/Fabric, GenAI and AI data systems, CI/CD for data pipelines, Terraform or CloudFormation, Kafka, Spark optimization, advanced analytics, ML workloads, data products, or large-scale analytics platforms is nice to have • No educational credential is specified

🏖️ Benefits

• Private health insurance • Education program with training and certification • Wellbeing program • Free coffee, drinks, and snacks at work • Company dinners • Company events, including ski trips, karting, laser-tag, wine tasting, picnics, and cooking classes • Competitive salary • 24 days of vacation • Annual company events with the whole team • Challenging projects • Inclusive culture and support for growth • Open feedback culture • Reasonable accommodations during the interview process