Find Machine learning engineer Jobs in Kill, Ke

Senior Data Engineer
GridBeyond —DUBLIN 24, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
1d
Applications Engineering, Manager
Synopsys —Dublin, County Dublin
- Master's degree
- No degree
- In-person
8d
Enterprise Growth Account Executive, DACH
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- Leadership
- Annual leave
3d
Sr. Software Eng, Data Platforms
eBay Inc. —Dublin, County Dublin
- Full-time
- System design
- Java
- AI
Senior Social Media Manager - French Fluent
Paradox —Dublin, County Dublin
- Full-time
- Remote
- Social media management
- English
- Communication skills
9d
Enterprise Account Executive, Nordics
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- In-person
- Annual leave
3d
Senior Software Engineer, Cash Forecasting
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
10d
ASIC Design/Verification, Architect
Synopsys —Dublin, County Dublin
- Analysis skills
- Communication skills
SMB Account Executive - Benelux
Okta —Dublin, County Dublin
- €88,000–€120,000 a year
- Bachelor's degree
- In-person
- Communication skills
Quick apply
ASIC Digital Verification Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Product Owner (Technical)
Revolut —Dublin, County Dublin
- Full-time
- Remote
- Communication skills
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Senior Manager, Solutions Engineering, Okta
Okta —Dublin, County Dublin
- €140,000–€190,000 a year
- Sales
- Annual leave
1d
Senior Manager, Solutions Engineering, Okta
Okta —Dublin, County Dublin
- €140,000–€190,000 a year
- Sales
Quick apply
1d
Emerging Account Executive - UKI
Okta —Dublin, County Dublin
- €88,000–€120,000 a year
- Bachelor's degree
- In-person
- Communication skills
- Annual leave
7h
Emerging Account Executive - UKI
Okta —Dublin, County Dublin
- €88,000–€120,000 a year
- Bachelor's degree
- In-person
- Communication skills
13h

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Senior Data Engineer

GridBeyond -
DUBLIN 24, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

Power BI
Azure
Business intelligence
Computer Science
Data lake
Internet of things
Engineering
Spark
R
Microsoft SQL Server
SQL
AWS
SSIS
Data visualisation
Business requirements
AI
Python
T-SQL
Analytics

Full job description

Location: GridBeyond HQ: Citywest, Dublin

Company Overview

GridBeyond is an innovative Smart Grid company. We develop systems that aggregate end customer site assets as part of Virtual Powerplant, so they can take part in new energy services which facilitate the decarbonisation of the energy system. We optimise the use of our customers’ energy resources, using our in house developed software and hardware platform. Our system consists of embedded controllers with rich sensor data harvesting and control systems deployed on customer sites, and on the back end we have a suite of in house developed applications managing control, automation and data analytics up to customer facing visualisation and reporting tools.

GridBeyond is a leader in the evolving smart grid offering Load Shifting, Demand Response and Frequency Response services. The smart grid is the next generation electricity network. Its aim is to utilise any possible electricity producing or consuming resource connected to the grid, from small residential to large industrial loads, to ensure a flexible and adaptive response to the changing energy landscape. This fast paced and evolving area requires new solutions to be developed to meet the needs of the end customer and evolving energy grid.

As we move to the next level of growth and position ourselves for the future, we are growing our IT team.

Job Overview

We are seeking a Senior Data Engineer to join our Data and Analytics IT Team. This candidate will work in an agile development environment and build a Data Lake and Data Warehouse solution to meet the needs of Data Science and Business Management teams. The solution will integrate data from external sources, IOT sensors from GridBeyond’s install base and business data from CRM, Billing and other IT systems. This integrated data will be used by Data science teams to create and test solutions for energy optimization, energy trading and predictive fault detection. Moreover, the solution will be used to develop Power BI reports for internal and external stakeholders.

You will have an opportunity to contribute to GridBeyond’s Smart Grid Platform development through analysis, design, implementation and delivery of industry leading big data and data warehousing solutions. The solution will be developed using Azure’s Cloud services and the candidate should have hands on experience of using Azure Data Platform. Ideally the candidate would have gone through the whole development life cycle from design to implementation to production on Azure during his previous projects.

Main Responsibilities

Leading the design and delivery of innovative data solutions using latest services from Azure eco-system.
Exploiting industry best practices and your experience to create a data platform to enable business growth.
Liaise with internal and external stakeholders in order to collect and document technical requirements.

Required Experience and Skills

A minimum of 3 years’ professional experience is required.
Azure/AWS Experience (3+ years). Azure Data Certification a plus
Experience with Data Warehouse design and Kimball methodology
ETL experience using SSIS and Azure Data Factory
Experience working with SQL Server, SQL Data Warehouse and Azure Data Lake
SQL server schema design and optimization to meet performance requirements
Python programming for Data engineering and clean up. Spark/Data bricks experience will be a plus
Experience of working with Power BI and DAX programming.
Good understanding and experience of working with data security options on Azure.
Proven ability to translate complex business requirements into design of end-to-end data systems including scalability, HA and DR Technologies
Technologies: SQL Server, data integration, ETL Design, Azure Data Lake, Azure Data Factory, Azure SQL Server and Azure Synapse
Core Programming languages: T-SQL, Power Shell, Azure API, DAX

Desired Qualifications and Other Experience

Previous experience working in the renewable energy sector.
A minimum of a third level degree in Maths, Physics, Engineering, Computer Sciences or a related discipline
Commercial experience in Data Warehousing and business intelligence projects.
Experience in handling large and complex datasets using multiple programming languages (T-SQL, Python, R etc.) is essential
Experience analysing multiple business domains and translating them to dimensional designs for analytics and reporting
Basic knowledge of or exposure to machine learning, data visualisation, and artificial intelligence techniques.
Experience working with Data Scientists and Machine Learning teams.

The following experience would be advantageous but not essential:

Experience working in an energy related industry combined with a passion for energy sustainability and innovation

Term and Benefits

Full Time - Hybrid (3 days in office)
Agile workflow, two week sprints, code reviews
Working alongside a highly motivated team
Delivering cutting edge technology and services
Competitive salary, pension, healthcare and life cover benefits
The successful candidate will gain extensive knowledge and experience in the evolving Smart Grid and energy industries across multiple jurisdictions.

Apply Now

Refine Your Search

machine learning engineer jobs in kill, ke

Senior Data Engineer

Applications Engineering, Manager

Enterprise Growth Account Executive, DACH

Sr. Software Eng, Data Platforms

Senior Social Media Manager - French Fluent

Enterprise Account Executive, Nordics

Senior Software Engineer, Cash Forecasting

ASIC Design/Verification, Architect

SMB Account Executive - Benelux

ASIC Digital Verification Architect

Product Owner (Technical)

Data Engineer

Senior Manager, Solutions Engineering, Okta

Senior Manager, Solutions Engineering, Okta

Emerging Account Executive - UKI

Emerging Account Executive - UKI

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