Senior Data Engineer

Visium SA
Laza, Spain
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Laza, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Cloud Engineering
Data as a Services
Data Architecture
Data Governance
Data Infrastructure
ETL
Data Visualization
Data Warehousing
Software Debugging
Digital Assets
Distributed Computing Environment
Distributed Systems
Python
Raw Data
Power BI
Software Engineering
Tableau
Data Processing
Data Storage Technologies
Snowflake
Spark
Data Strategy
Data Lake
Data Management
Data Pipelines
Databricks

Job description

Title: Senior Data EngineerType: Full-timeLocation: Valencia or BarcelonaAbout usAt Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.We're on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visiumees.Ready to become one?RoleAs a Senior Data Engineer, you will work with various stakeholders to provide business leaders with valuable insights from large and complex datasets. Starting from raw data, you will help build robust systems to make this data usable and accessible.As a Senior Data Engineer, you will be responsible for:Assess and understand client's data landscape and assess data qualityWork closely with business and IT stakeholders to understand business requirementsParticipating in technical sales activitiesWork with high volume of heterogeneous data with distributed systemsDesign, develop, and maintain scalable and efficient data assets, including data pipelines, data lakes, data warehouses, and ETL processes based on well-known data platformsBuild and manage data infrastructure, including data storage, processing, and accessImplement data models and schema designs to support data analysis and reporting needsDevelop and maintain data quality and data governance frameworksCreate data visualizations and reports to communicate insights to stakeholdersStay up to date with state-of-the-art data processing and analysis technologies.Troubleshoot and debug data-related issuesContribute to an exciting environment with a challenging teamWe are looking for5+ years of experience building data assets and pipelines using platforms like Databricks and Snowflake.Proficient in cloud technologies (Azure, AWS) and related data services.Skilled in data visualization tools such as Tableau, PowerBI, and Quicksight.Experienced with distributed data processing frameworks like Spark.Knowledgeable in designing and maintaining production-level data warehouses and provisioning data lakes.Familiar with software development principles, proficient in Python, and well-versed in data modeling and ETL design patterns.Possesses a growth mindset, excels in problem-solving, andFluent communication both in English.The following are a plusYou own one of the main Data and AI platforms certification (Databricks, Snowflake)Familiarity with dbt and how to use it effectivelyExperience in consulting is a plusWhat we offerA competitive compensation packageA yearly education budget to steep your learning curveA yearly sport budget because a fit body leads to a fit mindA flexible working culture because your work-life balance matters to usA position that enables you to have an impact on 1'000s of people, and the whole company's growth.An international, knowledgeable, and passionate team with a strong collaborative mindsetCheck ourLinkedInandwebsiteto learn more about us & don't hesitate to contact us if you have any questions.

Requirements

5+ years of experience building data assets and pipelines using platforms like Databricks and Snowflake. Proficient in cloud technologies (Azure, AWS) and related data services. Skilled in data visualization tools such as Tableau, PowerBI, and Quicksight. Experienced with distributed data processing frameworks like Spark. Knowledgeable in designing and maintaining production-level data warehouses and provisioning data lakes. Familiar with software development principles, proficient in Python, and well-versed in data modeling and ETL design patterns. Possesses a growth mindset, excels in problem-solving, and Fluent communication both in English. The following are a plus You own one of the main Data and AI platforms certification (Databricks, Snowflake) Familiarity with dbt and how to use it effectively Experience in consulting is a plus

Benefits & conditions

A competitive compensation package A yearly education budget to steep your learning curve A yearly sport budget because a fit body leads to a fit mind A flexible working culture because your work-life balance matters to us A position that enables you to have an impact on 1'000s of people, and the whole company's growth. An international, knowledgeable, and passionate team with a strong collaborative mindset Check our LinkedIn and website to learn more about us & don't hesitate to contact us if you have any questions.

About the company

At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data. We're on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of - our Visiumees. Ready to become one?

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