Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross - functional teams for data solutions and performance improvements in Madrid.
About the role
- Data Architect leading enterprise-scale data architecture projects. Collaborating with teams to deliver client-facing solutions and share expertise in a hybrid work setting.
Responsibilities
- Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics.
- Hands-on technical delivery of client-facing data projects across the full SDLC from design to migration, integration and live service in a multi-vendor environment
- Strong skills in languages such as Python, R, SQL or Scala
- Experience using modern and traditional data technologies including ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK
- Quality assuring data programmes, including non-functional testing and performance tuning
- Modern software delivery, including CI/CD and DevOps practices
- Conducting large scale enterprise batch and real-time processing from varying sources
- Building and designing scalable and extensible enterprise data architectures
- Actively contribute to your Practice Area by sharing your expertise, shaping propositions, and helping elevate our collective craft.
Requirements
- Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics. With hands-on technical delivery of client-facing data projects across the full SDLC from design to migration, integration and live service in a multi-vendor environment
- Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies. This should be backed with strong cloud-native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc.
- Proven experience in quality assuring data programmes, including non-functional testing and performance tuning
- Hands-on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.
- A keen understanding of industry best-practice around standards, quality and continuous improvement in the field of Data Engineering
- Experience in conducting large scale enterprise batch and real-time processing from varying sources
- Experience in building and designing scalable and extensible enterprise data architectures
- You’ll actively contribute to your Practice Area by sharing your expertise, shaping propositions, and helping elevate our collective craft. Whether through knowledge sharing, innovation or mentoring others, you play a key role in advancing the capability and strength of your community.
Benefits
- 25 days holiday allowance + bank holidays
- Share scheme
- A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
- 6% pension
- PLUS many more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Engineer designing and implementing big data solutions at DATAIS. Collaborating with clients to deliver actionable business insights and innovative data products in a hybrid environment.
SAP Data Engineer supporting MERKUR GROUP in becoming a data - driven company. Responsible for data integration, ETL processes, and collaboration with various departments.
Big Data Engineer designing and managing data applications on Google Cloud. Join Vodafone’s global tech team to optimize data ingestion and processing for machine learning.
Data Engineer building and maintaining data pipelines for Farfetch’s data platform. Collaborating with the Data team to improve data reliability and architecture in Porto.
Senior Data Engineer at Razer leading initiatives in data engineering and AI infrastructure. Collaborating across teams to develop robust data solutions and enhancing AI/ML projects.
Data Engineering Intern working with data as Jua builds AI for climate and geospatial datasets. Contributing to the integration and validation of new datasets with experienced mentors.
Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high - volume environment.
Senior Data Engineer developing and optimizing data pipelines for Scene+’s cloud - native platform in Toronto. Collaborating across teams to enhance data governance and analytics capabilities.
Staff Engineer developing innovative data solutions for dentsu's B2B marketing vision. Collaborating using cutting - edge cloud technologies and mentoring engineers in their careers.