Opdrachten

Shell IT International B.V. IT Data Engineering

IT Data Engineering

Info

Functie

IT Data Engineering

Locatie

Den Haag

Uren per week

40 uren per week

Looptijd

03.07.2022 - 29.12.2022

Opdrachtnummer

112691

Sluitingsdatum

date-icon29.06.2022 clock-icon07:00
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Rolomschrijving en taakafspraken

Het CV en de motivatie dienen aangeboden te worden in het Engels.
Het CV dient in een Word format aangeleverd te worden.

Leads one or more of the most complex data engineering projects. Takes the lead in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. Jointly designs and implements a new big data solution which supports high amounts and velocity of data and supports future growth. Identifies latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources. Takes direct reports, when applicable, through Agile Framework and its respective tools. Changes behaviour of stakeholders based on analyses / outcomes. Jointly works together with the Solution and Data Architect to design the target data strategy and the next generation big data platform to support the digital marketing platform. Conducts analyses to solve uncharted information and data queries/problems. Leads complex data engineering projects that require the most advanced data analytics. Working as Data Engineering Lead to develop and deploy innovative big data platforms for advanced analytics and data processing. Works independently under minimal managerial supervision.

The Principal AI/ML Eng will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to meet demand across multiple business lines. Key Characteristics: Lead a portfolio or programs in IDA/ Lead small team of AI Eng allocated to the project/Working within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies that could be effectively applied to Shell use cases/ Build core infrastructure around feature eng, model training, model deployment, ongoing monitoring tools/Build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization/Work closely with Infrastructure, data eng and DevOp teams to increase deployment velocity, inc. the process for deploying models and data pipelines into production/Work closely with Product Management to translate product requirements into robust, customer-agnostic ML architectures/Keep abreast of new eng practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry/Contribute to community building initiatives like CoE, CoP. Bachelor’s/Master’s/PHD degree in any of the following: Eng, statistics, ML, or relevant areas/Min15 yrs of experience in the industry Required Skills: Experience in running portfolio or programs & leading small teams/Excellent leadership skills/Solid experience in System design of large ML Applications/8+ yrs of development competency across a breadth of languages, frameworks, and tooling: Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Scala, Reactive Streams, Kafka (Python preferred)/Solid exp in designing application using Azure ML Services/8+ yrs of exp in designing, developing, deploying, and monitoring ML and deep learning solutions/8+ yrs of exp in Application development, deployment, and monitoring on Kubernetes/8+ yrs of exp in cloud Application Development using AWS or Azure/8+ yrs of exp implementing, Improving, and maintaining automated CI/CD pipeline/6+ year of exp working with data scientists and/or ML engineers and building auto-scaling ML systems/Development competency in data eng and storage, including across breadth of tools such as S3, RDS, EFS, ADLS Gen2, Azure SQL, Azure Cosmos, ADF, No-SQL, graph db, Spark, etc/4+ yrs of exp in automating Infrastructure creation using Terraform, Helm/5+ yrs of exp in distributed computing such as Spark, Pyspark/Good exp in distributed model training such as Horovod/Strong exp in designing workflow or Orchestration systems such as Airflow, Dagster etc/Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning/ Exp in extracting, cleansing, and manipulating large, diverse structured and unstructured data sets/Good exp in applying ML algorithms, Optimization and technologies to time series forecasting/Good exp in Bash\Powershell Scripting and Linux Operating system and networking fundamentals/Strong communication skills, explaining technical concepts to business people & to collaborate in a multi-disciplinary team/Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning/Exp working in small, empowered, delivery focused, cross-functional and collaborating teams/Exp of working in a virtual team and with virtual stakeholders. Nice to have Skills Cloud/Data eng skills using Azure/AWS/Google cloud native tools/ Designing ML application using Sagemaker/Google Vertex AI/Good exp in Bash\Powershell Scripting and Linux Operating system and networking fundamentals/Front end application development using React/Application development using .Net/c#/Exp in extracting, cleansing and manipulating large diverse structured and unstructured data sets/Knowledge and exp in applying ML algorithms and technologies to time series forecasting, Machine Vision, NLP.


Bedrijfsgegevens

Bedrijfs gegevens

Shell IT International B.V.

Rolomschrijving en taakafspraken

Het CV en de motivatie dienen aangeboden te worden in het Engels.
Het CV dient in een Word format aangeleverd te worden.

Leads one or more of the most complex data engineering projects. Takes the lead in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. Jointly designs and implements a new big data solution which supports high amounts and velocity of data and supports future growth. Identifies latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources. Takes direct reports, when applicable, through Agile Framework and its respective tools. Changes behaviour of stakeholders based on analyses / outcomes. Jointly works together with the Solution and Data Architect to design the target data strategy and the next generation big data platform to support the digital marketing platform. Conducts analyses to solve uncharted information and data queries/problems. Leads complex data engineering projects that require the most advanced data analytics. Working as Data Engineering Lead to develop and deploy innovative big data platforms for advanced analytics and data processing. Works independently under minimal managerial supervision.

The Principal AI/ML Eng will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to meet demand across multiple business lines. Key Characteristics: Lead a portfolio or programs in IDA/ Lead small team of AI Eng allocated to the project/Working within the Data Science and ML team to deploy models to production, using existing and emerging methods and technologies that could be effectively applied to Shell use cases/ Build core infrastructure around feature eng, model training, model deployment, ongoing monitoring tools/Build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization/Work closely with Infrastructure, data eng and DevOp teams to increase deployment velocity, inc. the process for deploying models and data pipelines into production/Work closely with Product Management to translate product requirements into robust, customer-agnostic ML architectures/Keep abreast of new eng practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry/Contribute to community building initiatives like CoE, CoP. Bachelor’s/Master’s/PHD degree in any of the following: Eng, statistics, ML, or relevant areas/Min15 yrs of experience in the industry Required Skills: Experience in running portfolio or programs & leading small teams/Excellent leadership skills/Solid experience in System design of large ML Applications/8+ yrs of development competency across a breadth of languages, frameworks, and tooling: Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Scala, Reactive Streams, Kafka (Python preferred)/Solid exp in designing application using Azure ML Services/8+ yrs of exp in designing, developing, deploying, and monitoring ML and deep learning solutions/8+ yrs of exp in Application development, deployment, and monitoring on Kubernetes/8+ yrs of exp in cloud Application Development using AWS or Azure/8+ yrs of exp implementing, Improving, and maintaining automated CI/CD pipeline/6+ year of exp working with data scientists and/or ML engineers and building auto-scaling ML systems/Development competency in data eng and storage, including across breadth of tools such as S3, RDS, EFS, ADLS Gen2, Azure SQL, Azure Cosmos, ADF, No-SQL, graph db, Spark, etc/4+ yrs of exp in automating Infrastructure creation using Terraform, Helm/5+ yrs of exp in distributed computing such as Spark, Pyspark/Good exp in distributed model training such as Horovod/Strong exp in designing workflow or Orchestration systems such as Airflow, Dagster etc/Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning/ Exp in extracting, cleansing, and manipulating large, diverse structured and unstructured data sets/Good exp in applying ML algorithms, Optimization and technologies to time series forecasting/Good exp in Bash\Powershell Scripting and Linux Operating system and networking fundamentals/Strong communication skills, explaining technical concepts to business people & to collaborate in a multi-disciplinary team/Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning/Exp working in small, empowered, delivery focused, cross-functional and collaborating teams/Exp of working in a virtual team and with virtual stakeholders. Nice to have Skills Cloud/Data eng skills using Azure/AWS/Google cloud native tools/ Designing ML application using Sagemaker/Google Vertex AI/Good exp in Bash\Powershell Scripting and Linux Operating system and networking fundamentals/Front end application development using React/Application development using .Net/c#/Exp in extracting, cleansing and manipulating large diverse structured and unstructured data sets/Knowledge and exp in applying ML algorithms and technologies to time series forecasting, Machine Vision, NLP.


De recruiter

Germaine Cooman

Source

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