Valtech

SeniorDataEngineer

€50–75k ~AI est. Portugal 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 Engineering, Cloud Platforms, Data Pipelines, AI/GenAI. Design scalable data platforms. Build scalable data platforms”

Industry & Context.

Problems you'll solve

Problem-solving; Scalability focus; Reliability focus

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, building batch data pipelines, building streaming data pipelines, production-grade data platforms, data modeling principles, data quality principles, governance principles, experience with major cloud platforms, experience with lakehouse architectures, experience with distributed data systems, scalability considerations in data pipelines, reliability considerations in data pipelines, 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

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

What You'll Do.

Design scalable data platforms

Build scalable data platforms

Optimize scalable data platforms

Build batch pipelines

Build streaming pipelines

Build near-real-time pipelines

Develop reliable batch pipelines

Develop reliable streaming pipelines

Develop reliable 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 agent-based architectures

Enable intelligent workflows

Design logical data models

Design physical data models

Orchestrate workflows

Automate end-to-end pipelines

Apply event-driven architectures

Apply streaming architectures

Ensure adherence to data governance

Ensure adherence to data lineage

Ensure adherence to data quality

Ensure adherence to access control

Establish data observability

Monitor data freshness

Monitor pipeline reliability

Monitor SLA adherence

Enable data serving layers

Support downstream systems

Monitor pipelines for performance

Optimize pipelines for performance

Monitor infrastructure for performance

Optimize infrastructure for performance

Monitor pipelines for scalability

Optimize pipelines for scalability

Monitor infrastructure for scalability

Optimize infrastructure for scalability

Monitor pipelines for cost efficiency

Optimize pipelines for cost efficiency

Monitor infrastructure for cost efficiency

Optimize infrastructure for cost efficiency

Translate requirements into data 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; Analysts

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

Free ATS check

Applying for this Senior Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Valtech?

Real rants from real employees. Read before you apply.

Read Company Rants →