Valtech

SeniorDataEngineer

€85–130k ~AI est. Bulgaria Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at Valtech. Skills: Data platform engineering, Cloud data platforms, AI/GenAI data pipelines. Design scalable data platforms. Build scalable data platforms”

Industry & Context.

Problems you'll solve

Problem-solving skills; Root cause analysis

What They're Looking For.

Must Have

Hands-on experience with Apache Spark, Hands-on experience with Delta Lake, Programming skills in Python, Programming skills in SQL, Experience building batch data pipelines, Experience building streaming data pipelines, Experience building production-grade data platforms, Solid understanding of data modeling, Solid understanding of data quality, Solid understanding of data governance principles, Experience with one major cloud platform, Experience with lakehouse architectures, Experience with distributed data systems, Understanding of scalability considerations, Understanding of reliability considerations, Understanding of performance considerations in data pipelines, Problem-solving skills focused on scalability, Problem-solving skills focused on reliability, Collaborative approach to working in cross-functional teams

Nice to Have

Experience with Microsoft Azure / Fabric, Experience with AWS, Experience with GCP, Familiarity with Databricks, Familiarity with Snowflake, Experience with GenAI and AI data systems, Experience with RAG pipelines, Experience with vector databases, Experience with LLM data preparation, Experience with CI/CD for data pipelines, Experience with infrastructure-as-code tools, Experience with Terraform, Experience with ARM, Experience with CloudFormation, Additional exposure to streaming technologies, Additional exposure to Kafka, Additional exposure to Spark optimization, Additional exposure to advanced analytics, Additional exposure to ML workloads, Experience with causal platforms, Experience with experimentation platforms, Experience building data products, Experience building large-scale analytics platforms, Experience in Agile environments, Experience in consulting environments

What You'll Do.

Design scalable data platforms

Build scalable data platforms

Optimize data platforms

Design scalable data pipelines

Build scalable data pipelines

Optimize data pipelines

Develop batch pipelines

Develop streaming pipelines

Develop near-real-time pipelines

Build ingestion workflows

Build transformation workflows

Build curation workflows

Implement lakehouse patterns

Implement medallion layering

Deliver high-quality datasets

Enable data pipelines for GenAI

Enable vector-based data flows

Enable agent-based architectures

Design logical data models

Design physical data models

Orchestrate workflows

Apply architecture patterns

Ensure data governance adherence

Ensure data lineage adherence

Ensure data quality adherence

Ensure access control adherence

Establish data observability

Monitor data freshness

Monitor pipeline reliability

Monitor SLA adherence

Enable data serving layers

Support downstream systems

Optimize pipelines for performance

Optimize pipelines for scalability

Optimize pipelines for cost efficiency

Collaborate with data scientists

Collaborate with ML engineers

Collaborate with analysts

Collaborate with business stakeholders

Translate requirements into solutions

Support adoption of data products

Contribute to best practices

How You'll Work.

Team & Collaboration

Cross-functional teams; Data scientists; ML engineers; Platform teams; Business stakeholders

Process & Methodology

Agile

Full Job Description

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care and dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration The role We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipeline

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