Data scientist Work, Jobs in Godalming, Sry (with Salaries)

Big Data Lead
FalconSmartIT —Wimbledon
- DevOps
- SQL
- AWS
Quick apply
Digital Marketing Analytics Manager
Primark —Reading
- Microsoft Excel
- SQL
- Analysis skills
Data Scientist
The AA —Basingstoke
- Full-time
- Hybrid work
- Master's degree
- SQL
- Analysis skills
- Annual leave
- Employee assistance programme
10d
Data Scientist
NPL —Teddington
- Hybrid work
- Doctoral degree
- Data analysis skills
- Maths
Digital Chemist - Lab Automation & Data Science
Syngenta Crop Protection —Bracknell
- Full-time
- Laboratory experience
- Master's degree
- Bachelor's degree
- Life insurance
Quick apply
Senior Data Scientist
MarketCast UK —Reading
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Flexitime
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Machine Learning Intern
Jenoptik AG —Farnborough
- Windows
- Machine learning
- Scripting
Data Analyst
Scrumconnect Consulting —Staines-upon-Thames
- £300 - £400 a week
- Azure
- Computer Science
- SQL
Research Software Engineer - User Configurable AI-Ready Datasets
ECMWF —Reading
- £76,384 - £91,754 a year
- Hybrid work
- System design
- English
- C++
Group Leader - Cancer Health Data Sciences
ICR —Sutton
- £66,092 a year
- Full-time
- Doctoral degree
- SQL
- Analysis skills
11d
ICOA Advanced Insights - Remote
IQVIA —Reading
- Remote
- Master's degree
- SQL
- Machine learning
AI and Digital Solutions Engineer
TrustFlight —Bracknell
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Machine learning
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AI Product Manager
Intent HQ —London
- Hybrid work
- Master's degree
- IT
- Employee assistance programme
- Gym membership
Quick apply

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Big Data Lead

FalconSmartIT
Wimbledon

Quick apply

Job details

Qualifications

DataStage
DB2
Big data
DevOps
Spark
Test automation
SQL
AWS
Terraform
Data pipeline
S3
Data warehouse
Python
Hadoop

Full job description

Job TItle: Big Data Lead

Job Type: Contract

Job Location: Wimbledon , UK

Job Description:

For this role, senior experience of Data Engineering and building automated data pipelines on IBM Datastage & DB2, AWS and Databricks from source to operational databases through to curation layer is expected using the latest cloud modern technologies where experience of delivering complex pipelines will be significantly valuable to how D&G maintain and deliver world class data pipelines.

Knowledge in the following areas essential:

Data Engineering Experience:

Databricks: Expertise in managing and scaling Databricks environments for ETL, data science, and analytics use cases.
AWS Cloud: Extensive experience with AWS services such as S3, Glue, Lambda, RDS, and IAM.
IBM Skills: DB2, Datastage, Tivoli Workload Scheduler, Urban Code
Programming Languages: Proficiency in Python, SQL.
Data Warehousing & ETL: Experience with modern ETL frameworks and data warehousing techniques.
DevOps & CI/CD: Familiarity with DevOps practices for data engineering, including infrastructure-as-code (e.g., Terraform, CloudFormation), CI/CD pipelines, and monitoring (e.g., CloudWatch, Datadog).
Familiarity with big data technologies like Apache Spark, Hadoop, or similar.
Test automation skills
ETL/ELT tools and creating common data sets across on-prem (IBMDatastage ETL) and cloud data stores
Leadership & Strategy: Lead Data Engineering team(s) in designing, developing, and maintaining highly scalable and performant data infrastructures.
Customer Data Platform Development: Architect and manage our data platforms using IBM (legacy platform) & Databricks on AWS technologies (e.g., S3, Lambda, Glacier, Glue, EventBridge, RDS) to support real-time and batch data processing needs.
Data Governance & Best Practices: Implement best practices for data governance, security, and data quality across our data platform. Ensure data is well-documented, accessible, and meets compliance standards.
Pipeline Automation & Optimisation: Drive the automation of data pipelines and workflows to improve efficiency and reliability.
Team Management: Mentor and grow a team of data engineers, ensuring alignment with business goals, delivery timelines, and technical standards.
Cross Company Collaboration: Work closely with all levels of business stakeholder including data scientists, finance analysts, MI and cross-functional teams to ensure seamless data access and integration with various tools and systems.
Cloud Management: Lead efforts to integrate and scale cloud data services on AWS, optimising costs and ensuring the resilience of the platform.
Performance Monitoring: Establish monitoring and alerting solutions to ensure the high performance and availability of data pipelines and systems to ensure no impact to downstream consumers.

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Refine Your Search

data scientist jobs in godalming, sry

Big Data Lead

Digital Marketing Analytics Manager

Data Scientist

Data Scientist

Digital Chemist - Lab Automation & Data Science

Senior Data Scientist

Machine Learning Intern

Data Analyst

Research Software Engineer - User Configurable AI-Ready Datasets

Group Leader - Cancer Health Data Sciences

ICOA Advanced Insights - Remote

AI and Digital Solutions Engineer

AI Product Manager

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