Valtech

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Senior Data Engineer

Region Restricted

Remote work allowed only within certain countries or regions.

Employer listed it 6 days ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Competitive conditions Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team.

Remote flexibility

Region Restricted

Remote work is allowed, but only for candidates based in Bulgaria, Poland, Portugal.

What the employer says

Source listing states candidate location: "North Macedonia - Remote, Bulgaria, North Macedonia, Poland, Portugal"

What Nomaders makes of it

Applications outside the listed area are usually rejected
Timezone overlap with the listed area is often expected

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

“Strong, demonstrable hands-on experience with the Databricks Lakehouse Platform , ideally on AWS (e.g., S3, Glue, EMR, Redshift, Kinesis, Lambda).”

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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 a nd 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. Beyond technical delivery, we want someone genuinely curious about the business problems behind the data, who applies common sense, detailed analysis, and experience-based recommendations to help shape business requirements, not just implement them as given.

You will work on scalable batch, streaming, and near-real-time pipelines, delivering high-quality curated datasets with robust governance, security, and observability. You will also support AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems, and collaborate closely with data scientists, ML engineers, and platform teams.

Platforms

Our work is centered on AWS with Databricks , with growing demand on GCP , including cloud migration programs. Azure/Fabric experience is also valued. We are looking for engineers with deep expertise in one cloud who are T-shaped: comfortable working across clouds and keen to broaden their platform experience. You’ll be staffed on projects that fit your strongest platform, with opportunities to expand.

Responsibilities

Build & Data Platform Engineering

Design and implement scalable data platforms and pipelines, primarily on AWS and Databricks, and on GCP or Azure/Fabric where projects require.

Develop reliable batch, streaming, and near-real-time pipelines using Spark and Delta Lake.

Build ingestion, transformation, and curation workflows for structured and unstructured data.

Implement lakehouse patterns and medallion layering (bronze, silver, gold), ensuring reusable, scalable systems aligned with enterprise needs.

Contribute to cloud-to-cloud migrations, including re-platforming pipelines and data models.

Enable AI, GenAI & Data Products

Deliver model-ready, production-grade datasets for analytics, ML, causal modeling, and optimization.

Build data pipelines for GenAI use cases (LLMs, RAG, vector-based data flows) and agent-based architectures.

Leverage Databricks MLflow and Unity Catalog, or equivalent tooling on other platforms.

Requirements

·Ask the right questions to understand not just what stakeholders want, but why.
·Surface gaps and better alternatives rather than executing a brief as written.

Benefits

·Private health insurance We hope you will never need it, but nevertheless, we offer private health insurance to all our employees.
·Education program We never stop learning, that’s why we offer our employees an educational program with training and certification.

How to apply

1Check the flexibility label above, region restricted, matches where you plan to live and work.
2Tailor your CV to the role at Valtech, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 21d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.