Data Engineer

Titan OS

. Design and implement integrations for additional data solutions and pipelines .

Posted 11/12/2026full-timeBarcelona • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering with a strong focus on AWS infrastructure, data ingestion, and processing. Proficient in Python, SQL, and ETL frameworks, ensuring high data reliability and effective DataOps practices.

Highest-signal resume keywords

Data Engineering ExperiencePython ProgrammingSQL ProficiencyAWS Cloud InfrastructureETL Pipeline Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Modeling TechniquesETL FrameworksSQLMeshSparkScala

Soft Skills

Communication SkillsCollaboration Skills

Tools & Technologies

AWSAirflowS3RedshiftDatabricksSnowflake

Industry Keywords

Data ObservabilityData GovernanceAgile MethodologiesAPI IntegrationHigh-Volume Telemetry

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCloudETLPythonScalaSnowflakeSparkSQL

About the role

Key responsibilities & impact

Design and implement integrations for additional data solutions and pipelines
Develop and maintain AWS infrastructure for data ingestion and processing
Optimize data management and processing for budget and performance
Work with stakeholders to identify root causes of inaccurate data points and develop fixes
Design and implement Data Observability frameworks to monitor data health, schema drift, and pipeline performance
Ensure high data reliability before data reaches downstream stakeholders
Standardize DataOps practices, including version control for data models, automated testing, and Infrastructure as Code (IaC)
Streamline deployments

Requirements

What you’ll need

Solid proven experience in a data engineering role
Strong programming skills in Python
Proficiency in SQL and data modeling techniques
Knowledge of data extraction and ETL frameworks
Experience with ETL pipeline orchestration, such as Airflow
Knowledge of ETL cloud infrastructure, preferably on AWS
Experience with cloud platforms including AWS, Azure, and Google Cloud
Experience with services such as S3, Redshift, Databricks, or Snowflake
DevOps mindset and end-to-end project responsibility
Excellent communication and collaboration skills
Fluent in English
Experience with high-volume telemetry or clickstream data
Familiarity with API integration and data extraction methods
Experience with SQLMesh for data transformation and modeling
Expertise with Spark and Scala
Experience working with Agile methodologies
Understanding of data governance best practices

Benefits

Comp & perks

Centrally located office in the heart of Barcelona, with public transportation nearby
Competitive compensation
Private health insurance
Friendly, diverse, and international work environment
Opportunity to work outside of your comfort zone and develop professionally in an exciting and fast-growing CTV industry
Unique opportunity to join a well-funded, high-growth company in the early stages and help shape a product/business that will impact millions