18 jobs found

Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - Pennsylvania - Philadelphia Posted Date: Oct The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. We are looking for a skilled Data Framework Engineer II to join our growing team. The Data Framework team builds and manages (in partnership with Tech) reusable components and architectures designed to make it both fast and easy to build robust, scalable, production-grade data products and services in the challenging biomedical data space. A Data Framework Engineer IIknows the metrics desired for their tools andservices anditerates to deliver and improve on those metrics in an agile fashion. A Data Framework Engineer II is a highly technical individual contributor, building modern, cloud-native systems for standardizing and templatizing data engineering, such as: Standardized physical storage and search / indexing systems Schema management (data + metadata + versioning + provenance + governance) API semantics and ontology management Standard API architectures Kafka + standard streaming semantics Standard components for publishing data to file-based, relational, and other sorts of data stores Metadata systems Tooling for QA / evaluation Additional responsibilities also include: Given a well-specified data framework problem, implement end-to-end solutionsusing appropriate programming languages(e.g.Python,Scala, or Go), open-source tools (e.g.Spark,Elasticsearch, ...), and cloud vendor-provided tools (e.g.Amazon S3) Leverage tools provided by Tech (e.g.infrastructure as code, CloudOps,DevOps, logging / alerting, ...) in delivery ofsolutions Write proper documentation in code as well as in wikis/other documentationsystems Writefantastic code along withthe proper unit, functional, and integration tests for code and services to ensurequality Stayup to datewith developments in theopen-sourcecommunity around data engineering, data science, and similartooling The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: PhD in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering OR Masters and 2+ years experience Experience with common distributed data tools (Spark, Kafka, etc) Experience with basics of data architecture (e.g. optimizing physical layout for access patterns) Experience with basics of search engines/indexing (e.g. Elasticsearch, Lucene) Demonstrated experience in writing Python, Scala, Go, and/or C++ Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience building and designing a DevOps-first way of working Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem) Experience with schema tools and schema management (Avro, Protobuf) Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness LI-GSK If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve. GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.

Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Cambridge, USA - Massachusetts - Waltham, USA - New Jersey - Trenton, USA - Pennsylvania - Upper Providence Posted Date: Jun 6 2022 The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DSDE) team within GSK's Pharmaceutical R&D organization. There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows :Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data :with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2ecode traceability and data provenance :Increasing assurance of data integrity through automation, integration. Improving engineering efficiency :Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would be driven by data engineering innovation and better resource utilization. We are looking for experienced Senior DevOps Engineers to join our growing Data Ops team. As a Senior Dev Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code Define Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Observability (monitoring, alerting, logging, tracing, etc.) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Audit as a service Senior DevOpsEngineers take full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. Successful Senior DevOpsEngineers are developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/container-based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools (e.g.GitOps, Jenkins,CircleCI, Azure DevOps, etc.), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow Programming in Python. Scala orGo Embedding agile software engineering (task/issue management, testing, documentation, software development lifecycle, source control, etc.) Leveraging major cloud providers, both via Kubernetesorvia vendor-specific services Authentication and Authorization flows and associated technologies (e.g.OAuth2 + JWT) Common distributed data tools (e.g.Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Masters in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 5 years job experience (or PhD plus 3 years job experience) Experience with DevOps tools and concepts (e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps /etc.)Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture (e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc.) Experience with search / indexing systems (e.g. Elasticsearch) Expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience with building and designing a DevOps-first way of working Experience with building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details

Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence, Warren NJ Posted Date: Aug The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DS D E) team within GSK's Pharmaceutical R&D organisation . There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2 e code traceability and data provenance: Increasing assurance of data integrity through automation, integration Improving engineering efficiency: Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would b e driven by data engineering innovation and better resource utilization. We are looking for an experienced Sr. Data Ops Engineer to join our growing Data Ops team. As a Sr. Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas : Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering team s across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code D efine Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Ob servabilty (monitoring, alerting, logging, tracing, ...) Enable quality engineering through KPIs and c ode coverage and quality checks Standardise GitOps /declarative software development lifecycle Audit as a service Sr. DataOpsEngineerstake full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. A successfulSr.DataOpsEngineeris developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/ container based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools ( e.g. GitOps , Jenkins, CircleCI , Azure DevOps, ...), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow P rogramming in Python. Scala or Go Embedding agile s oftware engineering ( task/issue management, testing, documentation, software development lifecycle, source control, ) Leveraging major cloud providers, both via Kubernetes or via vendor-specific services Authentication and Authorization flows and associated technologies ( e.g. OAuth2 + JWT) Common distributed data tools ( e.g. Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: Bachelors degree in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 7 years job experience or Masters degree with 5 Years of experience (or PhD plus 3 years job experience) Deep experience with DevOps tools and concepts ( e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps / ...) Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture ( e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc) Experience with search / indexing systems ( e.g. Elasticsearch) Deep expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience building and designing a DevOps-first way of working Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details

At NTT DATA are exceptional together and we believe in growing by helping others grow, clients, partners, and employees. In order to achieve our goals, our diverse and talented team leads by example. As a Leader, you will uphold the essence of the company, be a focal point for your team, colleagues, and clients, and be involved in decisions to ensure the long-term sustainability of the organisation. We support each other to be who they want to be and work how they work best. This is how we bring innovation, and how we build a better future for our people, our business, and our society. We provide a safe environment in which all of us can be ourselves and reach our full potential. Our success comes from our people, regardless of ethnicity, cultural background, gender, nationality, sexual orientation, or anything else that can be used to differentiate people because we are exceptional together. As part of our continuous growth, we are looking for an Azure Data Architect to join our team in London. • Defining the data architecture as part of a data solution (e.g. ETL, data integration and data migration) or a wider program, such as a digital transformation. • Setting the direction and acting as technical lead for a technical team delivering Azure platform solutions, and when required on-prem data solutions. • Building conceptual and physical data models, optimised for operational or analytical use cases. • Estimating and providing Rough-Order-Of Magnitude (ROM) sizings for change. • Documentation of solutions (e.g. data models, configurations, and setup). • Providing Quality Assurance, reviewing the development. • Proving expertise and coaching to less experienced members of the Data Practice in Microsoft Azure Data Services. • Contributing to the methods, and standards and keeping abreast of the technical advances in data engineering for the Data Practice. • Demonstrating how Azure Data Services can be exploited in the success of cloud migration and digital transformation opportunities. • Architecting data platforms on the Microsoft Azure platform. • Designing conceptual and physical data architectures. • Producing high-level blueprints, and reference architectures. • Defining outline data models and data entity relationships. Solid skills in • Designing modern cloud-based Data Platform solutions with a sound understanding of architectural concepts (e.g. Platform as a Service cloud computing and Distributed Parallel architecture). • Experience with conceptual, logical and physical data modeling and a clear understanding of defining data architecture framework, standards and principles. • Mapping data from source to target and establishing current & future states based on business data requirements. • Data Warehousing, ETL / Data Processing, Data Migration. • Working Knowledge of Data Modeling Tools (Erwin Data Modeler, etc.) • Master Data Management (MDM) systems. Awareness of / Nice to have; • Developing data platforms using a wide range of Azure Services including Azure Cosmos DB, Azure SQL Database, Azure Data Lake Storage, Azure Data Factory and Azure Blob storage, HDInsight, and Machine Learning Studio. • Data Visualisation techniques. • Microsoft BI stack and more advanced warehousing options (e.g. Hadoop, etc.). • Designing analytics and machine learning solutions using Azure Databricks platform. • Data Cleansing, Data Quality and Data Governance tools and methods. • DevOps/ DataOps methods in the development of data solutions. Our employees' safety is the priority, so currently you will be working from the comfort of your own home most of the time. In the future when we can spend time in some more time of our offices, in Oxford Circus, Bank or Epworth House. As a result, you will be able to enjoy London's vibrant dynamics! .... And another thing, you will be joining a close-knit team that is supportive and approachable. This means that as a new joiner, you will always have someone available to offer help and guidance. How to apply: We appreciate that you may not have an up to date CV, so please just send what you have and let's organise a chat!

Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - Pennsylvania - Philadelphia Posted Date: Oct The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. We are looking for a skilled Data Ops Engineer II to join our growing team. The Data Ops team acceleratesbiomedicaland scientificdata product development and ensures consistent, professional-grade operations for the Data Science and Engineering organization by building templated projects (code repository plus DevOps pipelines) for various Data Science/Data Engineering architecture patternsin the challenging biomedical data space.A Data Ops Engineer IIknows the metrics desired for their tools andservices anditerates to deliver and improve on those metrics in an agile fashion. A Data Ops Engineer II is a highly technical individual contributor, building modern, cloud-native systems for standardizing and templatizing data engineering, such as: Standardized physical storage and search / indexing systems Schema management (data + metadata + versioning + provenance + governance) API semantics and ontology management Standard API architectures Kafka + standard streaming semantics Standard components for publishing data to file-based, relational, and other sorts of data stores Metadata systems Tooling for QA / evaluation Audit as a Service Additional responsibilities also include: Given a well-specified data framework problem, implement end-to-end solutionsusing appropriate programming languages(e.g.Python,Scala, or Go), open-source tools (e.g.Spark,Elasticsearch, ...), and cloud vendor-provided tools (e.g.Amazon S3) Leverage tools provided by Tech (e.g.infrastructure as code, CloudOps,DevOps, logging / alerting, ...) in delivery ofsolutions Write proper documentation in code as well as in wikis/other documentationsystems Writefantastic code along with theproper unit, functional, and integration tests for code and services to ensurequality Stayup to datewith developments in theopen-sourcecommunity around data engineering, data science, and similartooling The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Master's in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering and 2+ years of experience OR PhD in Computer Science Demonstrated experience with software engineering (testing, documentation, software development lifecycle, source control, ... Experience with DevOps tools and concepts (e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps / ...) Experience with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with basics of search engines/indexing (e.g. Elasticsearch, Lucene) Demonstrated experience in writing Python, Scala, Go, and/or C++ Preferred Qualifications: If you have the following characteristics, it would be a plus: Comfort with specialized data architecture (e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc) Experience with the CNCF ecosystem / Kubernetes Comfort with search/indexing systems (e.g. Elasticsearch) Experience with schema tools/schema management (Avro, Protobuf) Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness LI-GSK If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve. GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.

Role Profile - Data Engineer Role Title AWS Data Engineer Business Function DataOps Location Wrexham / London Who we are & what we do Founded in 2016, Chetwood Financial is a digital bank using technology to make people better off. At Chetwood, we think differently...... click apply for full job details