Data Engineering & Analytics Associate

Metyis AG
Barcelona, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English, Spanish

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Big Data Computer Programming Databases Continuous Integration Data Cleansing Information Engineering Extract Transform Load (ETL) Data Warehousing Database Queries
+12 more
Python (Programming Language) Machine Learning Standard Sql Scala (Programming Language) SQL Databases Unstructured Data Data Processing Scripting Git Information Technology Data Analytics Data Pipelines

Job description

Metyis is growing!We are looking for a Data Engineering & Analytics Associate with +3 years of experience to join our international Data and Analytics team, based in Barcelona.Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.Who we are:Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services.At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas.Being part of Metyis means you can speak your mind and be creative with your knowledge.Imagine the things you can achieve with a team that encourages you to be the best version of yourself.We are Metyis.Partners for Impact.What we offer:Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful changeBecome the go-to person for end-to-end data handling, management, and analytics processesWorking with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualizationBecome part of a fast-growing international and diverse teamWhat you will do:Translate business problems into structured analytical approaches and data solutionsAnalyse structured and unstructured data to identify insights and opportunitiesBuild and maintain ETL/ELT pipelines, datasets, and scalable data-processing solutionsDevelop automation and analytical solutions using SQL, Python, Scala, or similar toolsPerform data-quality checks, validation, and performance optimisationSupport reporting, advanced analytics, and machine learning use casesCollaborate with data science, engineering, reporting, product, and business teamsCommunicate findings clearly to technical and non-technical stakeholdersManage deliverables across multiple projects and clientsWhat you ?ll bring:3-6 years of experience in data engineering, analytics, data science, or a hybrid data roleDegree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related fieldStrong SQL skills and good programming knowledge in Python, Scala, or another scripting languageExperience with ETL/ELT pipelines, databases, data warehouses, and data modellingAbility to analyse data and translate findings into business recommendationsWorking knowledge of statistics and machine learningExperience with Azure, AWS, or GCPFamiliarity with Git and CI/CD is desirableStrong problem-solving, business understanding, and stakeholder-management skillsExcellent written and verbal communication skills in English and SpanishAt Metyis, we are driven by curiosity and collaboration.We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation.xcskxlj We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.#J-*****-Ljbffr

Requirements

3-6 years of experience in data engineering, analytics, data science, or a hybrid data role Degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field Strong SQL skills and good programming knowledge in Python, Scala, or another scripting language Experience with ETL/ELT pipelines, databases, data warehouses, and data modelling Ability to analyse data and translate findings into business recommendations Working knowledge of statistics and machine learning Experience with Azure, AWS, or GCP Familiarity with Git and CI/CD is desirable Strong problem-solving, business understanding, and stakeholder-management skills Excellent written and verbal communication skills in English and Spanish

About the company

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer: Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change Become the go-to person for end-to-end data handling, management, and analytics processes Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization Become part of a fast-growing international and diverse team What you will do: Translate business problems into structured analytical approaches and data solutions Analyse structured and unstructured data to identify insights and opportunities Build and maintain ETL/ELT pipelines, datasets, and scalable data-processing solutions Develop automation and analytical solutions using SQL, Python, Scala, or similar tools Perform data-quality checks, validation, and performance optimisation Support reporting, advanced analytics, and machine learning use cases Collaborate with data science, engineering, reporting, product, and business teams Communicate findings clearly to technical and non-technical stakeholders Manage deliverables across multiple projects and clients, At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. xcskxlj We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow. #J-*****-Ljbffr

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