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Senior Data Engineer – Data & AI in Madrid

Hybrid in Madrid·Full-time·Added yesterday (last checked 31 Oct)

Our summary

Work mode
Hybrid, Madrid
Contract
Full-time
Spanish
Fluent
English
Required
Experience
5+ years
Benefits
Flexible pay plan

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Skills

Tecdata Engineering is hiring for this role in several places. This vacancy is in Madrid.

This job advert was originally written in Spanish.

Requirements

What we're looking for

  • At least 5 years of experience in Data Engineering, participating in the development and production deployment of solutions.

  • At least 3 years of experience with cloud data platforms and client projects.

  • Proficiency in advanced SQL and Python, including query and performance optimization.

  • Experience in source integration, data modeling, and ETL/ELT pipeline development.

  • Knowledge of modeling methodologies: dimensional/Kimball, Data Vault, SCD, and 3NF.

  • Experience with distributed processing using Spark/PySpark, in both batch and streaming.

  • Solid experience in at least one data platform: Databricks, Snowflake, BigQuery, Microsoft Fabric, or Cloudera, among other equivalent technologies.

  • Experience with transformation and orchestration tools such as dbt and Airflow, or alternatives like Data Factory, Cloud Composer, or Databricks Workflows.

  • Knowledge of version control, testing, CI/CD, monitoring, and incident resolution.

  • Experience with infrastructure as code, preferably Terraform.

  • Knowledge of Lakehouse architectures and open formats: Delta Lake, Apache Iceberg, and Parquet.

  • Experience implementing data quality controls, such as dbt tests or Great Expectations.

  • Fluent Spanish and professional English.

  • Experience working in agile methodologies and collaborating directly with clients and business teams.

We seek technical depth in a coherent combination of technologies and the ability to adapt to different environments. It is not necessary to master all the mentioned tools.

Nice to have

  • Experience in migrations from on-premise environments and adoption of managed cloud services.

  • Knowledge of BI, MLOps, and data governance.

  • Experience in regulated sectors and projects with distributed teams.

  • Certifications in Databricks, Snowflake, Microsoft Fabric, AWS, or Google Cloud.

  • Catalog and lineage tools: Unity Catalog, Microsoft Purview, Collibra, or Dataplex.

  • Kafka, Event Hubs, event-oriented architectures, and CDC (Debezium, Fivetran, Airbyte).

  • Data preparation for AI solutions: document ingestion for RAG, embeddings, vector databases, and semantic layers.

  • Knowledge of GDPR, DORA, NIS2, and cloud security: IAM, encryption, secrets management, and DevSecOps.

  • Data observability tools such as Datadog, Grafana, or Monte Carlo.

  • Experience in AI-assisted development and code review best practices.

Pay & benefits

What you'll get

  • Joining Grupo Tecdata, within our Data & AI practice.

  • Participation in modernization, engineering, and data analytics projects.

  • Technical autonomy and active participation in the evolution of the practice.

  • Direct collaboration with the Data Lead and specialists from different disciplines.

  • Hybrid modality in Madrid, with possibility of working remotely.

  • Competitive salary range, in accordance with the experience and knowledge provided.

  • Continuous training and flexible benefits.

  • Possibilities for professional evolution and growth.

The role

At Grupo Tecdata we are looking to hire a Data Engineer Senior for our Data & AI team.

We are looking for a profile with solid experience in data engineering and platforms, capable of designing, developing, and moving data solutions into production with technical autonomy and responsibility for their quality, performance, and operability.

You will participate in platform modernization, integration, transformation, and data governance projects, collaborating with BI, Data Science, and Artificial Intelligence specialists to build scalable and reusable solutions for our clients.

You will work directly with the Data Lead, acting as a technical reference in assigned projects and contributing to the growth of our Data practice.

What you'll do

  • Design and implement batch data pipelines, models, and architectures and, when necessary, real-time processing.

  • Participate in data platform migration and modernization projects.

  • Define integration, storage, and transformation solutions.

  • Optimize platform performance, reliability, and costs.

  • Incorporate testing, observability, failover mechanisms, and operational procedures.

  • Implement quality controls, traceability, lineage, and access management.

  • Ensure that data is prepared for BI, analytics, and Machine Learning solutions.

  • Collaborate with AI teams in the preparation and updating of data sources for RAG solutions and agent systems.

  • Coordinate privacy and security requirements with the responsible teams.

  • Assume technical leadership of projects or teams when necessary.

  • Decompose tasks, review code, mentor junior profiles, and manage technical risks.

  • Participate in estimations, technical designs, demonstrations, and proofs of concept (PoC).

  • Collaborate with the Data Lead and the sales team on technical and pre-sales proposals.

  • Develop standards, accelerators, and reusable components for the Data practice.

  • Share knowledge and best practices with internal teams and collaborators.

How you'll work

Location: Madrid, Spain
Modality: Hybrid, with possibility of remote modality
Working day: Full-time
Area: Data & AI
Experience: 5 years or more

Key Competencies

  • Autonomy and judgment to make technical decisions.

  • Ability to justify architectures and estimate efforts.

  • Technical leadership and mentoring of small teams.

  • Customer orientation and ability to communicate with technical and business profiles.

  • Communication skills to present and defend technical proposals.

  • Orientation toward quality, efficiency, and continuous improvement.

About Tecdata Engineering

Tecdata Engineering (TECDATA ENGINEERING) is a technology consulting and services provider specialized in global technology projects, with a portfolio covering custom software development, legacy modernization, managed services, cloud infrastructure, Salesforce, cybersecurity (including SOC, pentesting and NIS2 compliance), and data & AI services, alongside IT talent services such as headhunting and staff augmentation. The company reports being founded in 2012 with around 500 employees ("Compañeros 500") and 5M in billing, and forms part of a broader technology consulting group with more than 550 consultants across 5 countries. It states it is present in major economic sectors including banking, telecommunications, and insurance.

In Spain, Tecdata Engineering hires across multiple locations including Madrid, Barcelona, and Bilbao, with a significant share of openings marked "Completamente remoto" (fully remote) or hybrid. Its careers portal organizes vacancies into departments such as Desarrollo y QA, Ciberseguridad, Cloud, DevOps, Sistemas y Producción, Gestión de Proyectos, Comercial, and RRHH, and current openings range from COBOL and mainframe-adjacent banking roles to data engineering, Salesforce, SAP, cybersecurity, and air traffic management QA. For international professionals considering a move to Spain, the volume of remote-eligible roles across the country is notable, though the company's careers and website content is published in Spanish.

Industry
IT Services
Founded
2012
Employees
500

Good to know if you are moving

  • Many openings are advertised as fully remote within Spain, e.g. "Senior Data Scientist – GCP Madrid · Completamente remoto" and "ML ENGINEER Madrid · Completamente remoto".
  • Hiring activity in Spain includes Madrid, Barcelona, and Bilbao, with hybrid and on-site arrangements depending on the role.
  • The company reports around 500 employees ("Compañeros 500") and was founded in 2012.
  • It is part of a technology consulting group with more than 550 consultants operating in 5 countries.
  • Its client sectors include banking, telecommunications, and insurance, so many roles involve regulated, enterprise-grade environments.
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