Data Engineering Manager

Metyis AG
Madrid, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Business Analytics Applications Automation of Tests Microsoft Azure Big Data Cloud Engineering Profiling Continuous Integration Data Cleansing Information Engineering
+25 more
Extract Transform Load (ETL) Data Mart Data Transformation Data Visualization Data Warehousing Python (Programming Language) Cloud Services Software Deployment SQL Databases Data Streaming AI Infrastructure Data Processing Microsoft Power Automate Azure Data Factory Git Data Lakes Pyspark Kubernetes Information Technology Data Analytics Data Management Restful APIs Azure Synapse Analytics Serverless Computing Databricks

Job description

Metyis is growing!We are looking for a Data Engineering Sr Associate with +5 years of experience to join our international Data and Analytics team, based in Barcelona.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 change- Become the go-to person for end-to-end data handling, management, and analytics processes- Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs- 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 teamWhat you will do:- Own and develop the data engineering and AI infrastructure roadmap in alignment with business and technology priorities- Design scalable cloud data platforms, pipelines, APIs, and architectures that support analytics and AI use cases- Work closely with business stakeholders to understand needs, define use cases, and translate them into technical solutions- Monitor the end-to-end development of data and AI use cases, ensuring quality, scalability, and business value- Lead development using Python, PySpark, SQL, REST APIs, and Microsoft Azure- Establish engineering standards covering architecture, testing, CI/CD, data quality, governance, and monitoring- Coordinate data engineering, data science, reporting, and product teams to deliver production-ready solutions- Communicate technical decisions, risks, progress, and recommendations to business and senior stakeholders- Coach team members and manage delivery across multiple projectsWhat you ?ll bring:5-8 years of experience in data engineering, including building and deploying production-grade ETL/ELT solutionsStrong hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, Logic Apps, and related servicesAdvanced skills in SQL, Python, PySpark, data transformation, profiling, and data modellingStrong knowledge of data warehouses, data lakes, data marts, APIs, streaming, and modern cloud architecturesExperience supporting AI and machine learning solutions from data preparation through production deployment and monitoringKnowledge of CI/CD, Git, automated testing, data quality, governance, and observabilityExperience with Airflow, Kubernetes, or Great Expectations is desirableStrong business understanding and ability to translate business objectives into technical requirementsConfident, proactive communicator who enjoys working closely with clients and business stakeholdersStrong leadership, stakeholder-management, and problem-solving skillsExperience managing or coaching a team of at least two peopleExperience in service consulting and stakeholder managementComfortable with ambiguity, highly autonomousA Bachelor’s Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research.Statistics, Business or other related technical disciplines (Master’s Degree is a plus)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.We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.#J-*****-Ljbffr

Requirements

5-8 years of experience in data engineering, including building and deploying production-grade ETL/ELT solutions Strong hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, Logic Apps, and related services Advanced skills in SQL, Python, PySpark, data transformation, profiling, and data modelling Strong knowledge of data warehouses, data lakes, data marts, APIs, streaming, and modern cloud architectures Experience supporting AI and machine learning solutions from data preparation through production deployment and monitoring Knowledge of CI/CD, Git, automated testing, data quality, governance, and observability Experience with Airflow, Kubernetes, or Great Expectations is desirable Strong business understanding and ability to translate business objectives into technical requirements Confident, proactive communicator who enjoys working closely with clients and business stakeholders Strong leadership, stakeholder-management, and problem-solving skills Experience managing or coaching a team of at least two people Experience in service consulting and stakeholder management Comfortable with ambiguity, highly autonomous A Bachelor’s Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research. Statistics, Business or other related technical disciplines (Master’s Degree is a plus)

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
  • Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs
  • 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, 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. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow. #J-*****-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · WWC 2024

Videos

See all

Related articles

See all