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For Permanent in England

Ref: SDAE3984JFI_1627822814

Data Engineer

Scotland, Glasgow

  • 45000 to 65000 GBP
  • Engineer Role
  • Skills: AWS, Python, Data
  • Seniority: Senior

Job description

Data Engineer - FULLY REMOTE

Up to £65k DOE

My client are seeking a talented individual to help increase their delivery, managing a continuous integration and deployment tools, helping to define infrastructure as code, and with estimating system requirements, as well as monitoring smooth operations.

* You will work with external and internal stakeholders as well as team members when capturing and documenting IT requirements.
* You will show attention to detail and show strong problem solving skills when helping to spec out projects and infrastructure.
* You will help with the development of data pipelines, setting up data lake and data warehousing infrastructure.
* You will help creating new integrations with third party providers and external data sources.
* You will help with the development of dashboards and other reporting tools.
* You will be comfortable working to Agile principles and development methodologies.



Your Skills

Required

* Excellent knowledge of Python
* You will know common data query languages for relational and document databases.
* Experience working with version control tools, understand the importance of code reviews and coding standards).
* Experience with Messaging queues and event driven development (eg. Rabbit MQ, SQS).
* Experience setting up data pipelines, data extraction, transformation and load processes.
* Experience developing REST APIs.
* Understanding of common cloud metrics and alerting within AWS.

Desirable

* Experience with Apache Spark and Databricks.
* Experience using the AWS eco system, especially VPC, EC2, RDS and Redshift and the AWS Cloud Development Kit, Lambda.
* Experience with workflow management tools (eg. Airflow, Luigi).
* Experience working with continuous integration, CI/CD processes.
* Experience with orchestration tools (eg. Cloud formation, Kubernetes, etc).

To apply or for more info contact o.king@jeffersonfrank.com or call 0191 814 7785.

Ref: DDA037984JFI_1627977623

Cloud Engineer

Scotland, Edinburgh

  • Remote working, bonus
  • Engineer Role
  • Skills: AWS, Python, Data
  • Seniority: Mid-level

Job description

Cloud Engineer - Edinburgh based client

Can be remote with 1/2 days in office per month

Are you looking to be a part of a team that is re-thinking the way data is stored and consumed?

As a part of my clients Data's Cloud Engineering team, you will work within an existing team of Engineers who are empowered to take full ownership of the solutions to complex business requirements that pertain to the design, development and maintenance of the Cloud Data Platform and Open Source data science Toolkit.

Cloud Data Engineering are responsible for the full pipeline of cloud data activities on the platform from ingestion of raw data into the data lake and right through the life-cycle of data architecture, presenting data out in a secure manner to the growing number of areas around the bank that need access to both the data and the Cloud Data Platform.

Benefits:

* Working with the latest tools and services on AWS
* Incredible benefits package with fantastic rewards scheme and pension
* Training and Development to support your role and progress your career
* Working in office 1/2 days per month and fully remote the rest of the time (if you want too)

Skill set & Experience:

* AWS or Azure Cloud Experience
* Experience of Data and Analytics platforms using Cloud infrastructure.
* Big Data (Spark/Hadoop)
* Real Time Data Flows - Kafka * Lambda
* Jenkins or other CI/CD toolsets
* Python/Scala/Java
* Data Science tooling(R-Studio, Shiny, other).
* Experience of IAC and Containerisation (Docker/Kubernetes) & Cloudformation/ Terraform

To apply or discuss the role further please contact Oliver King at o.king@jeffersonfrank.com or call 0191 814 7785.

***Everything discussed will remain confidential***

Ref: 040821ATJFI_1628090280

Senior Data Engineer (AWS or Azure)

England, London

  • 60000 to 80000 GBP
  • Engineer Role
  • Skills: AWS, Azure, Python, SQL, Scala, Spark, Pandas, Terraform, Big Data, ML, Data Engineer,
  • Seniority: Senior

Job description

Senior Data Engineer | Remote, Full-Time | UK Based Candidates | Consultancy



Our Client are a UK based Strategy, Transformation, Data and Technology Consulting firm with a 30+ person Engineering team who solve complex problems through advanced technical solutions.

Working week - a mixture between Client work (4 days) and internal products/training (on a Friday) - the internal products / training is a chance for you to work on your own personal/professional development which may be exposure to new areas like ML, or participating in the approved paid certifications related to Data or Cloud (e.g. AWS Solutions Architect or Databricks, as an example)

The projects vary across a range of industries, but rest assured, you will never be expected to travel if on a remote contract (full-time contract) apart from the odd occasion to meet the Client. They are very flexible in matching you onto opportunities within your local area as well to keep the commutes minimal without the need for a hotel or time away from your family. In terms of what you will be getting involved with, again, very much dependent on where your interests lay... be that something greenfield within the financial services or elsewhere under a different industry/domain. In the past, they have created entire banks from scratch!! So plenty of exciting work to get behind.

Data Engineering - they are currently looking for Senior and Lead Data Engineers to come into the business and hit the ground running. As they are a smaller sized company, your contributions will not go unnoticed and there are clearly defined progression maps to have an understanding of what objectives need to be hit in order to gain promotion and elevate within your career. You will be technically curious, innovative, and able to work communicate effectively with the wider team and stakeholders.



Requirements:

* Python or Scala programming
* Continuous integration, Continuous deployment (CI/CD)
* Cloud technologies: AWS or Azure
* Pandas and ETL
* Terraform or Cloudformation
* Experience with Big Data (Spark etc.)
* Experience with Analytics and Visualisation
* SQL
* Databases

Benefits:

* Full-time position DOE - from £60k to £80k
* Company Bonus
* Remote working and flexible working
* Healthcare and medical benefits
* Company pension scheme benefits
* Well-being benefits and perks
* 25-30 days holiday
* Paid volunteering days



For more information, please contact ALEX from Jefferson Frank on 0203 869 0889 or a.todd1@jeffersonfrank.com

Jefferson Frank are the AWS recruiter of choice and an AWS Advanced Technology Partner helping organisations across the Globe with their cloud requirements.

Ref: 09082021EH_1628516810

Software Engineer - c.£80,000

England, London

  • 60000 to 80000 GBP
  • Engineer Role
  • Skills: AWS, Software Engineer
  • Seniority: Mid-level

Job description

About the company

My client are an intranet Software provider who enable employee communication in a time when working from home has become the norm. They are at the forefront of innovation reinventing what the intranet can provide so are looking for software engineers to join their team in the UK to help them achieve this. The role is currently remote but my client are looking to move to a hybrid working structure.



Job Description

In this role you will work closely in a cross-functional team to build user-facing features using JavaScript both back-end and front-end and be responsible for development projects from start to completion. This will include helping to plan features, build and maintain services in AWS and deploy infrastructure. You will also write automated unit tests and end-to-end tests.



You will be a good fit if you:

* Have in depth AWS knowledge and commercial use including deploying and maintaining microservices
* Have strong React knowledge and experience
* Excellence in writing readable and efficient TypeScript code.
* Good understanding of CI/CD, unit testing, and automated end-to-end testing using a framework like Cypress.
* Are familiar with both relational databases and NoSQL solution
* Are user focused



If you are interested in applying for this role or want to find out more information please get in touch with myself via email at e.harrington@jeffersonfrank.com or via mobile on 0191 255 1430, or apply via the apply link attached to this advert.

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organisations worldwide to find and deliver the best permanent and contract AWS DevOps, Big Data, IaaS and PaaS, and AWS Security professionals on the planet. For more information, visit jeffersonfrank.com.

Ref: SDAE3984JFI_1628928006

Data Engineer

England, London

  • 45000 to 65000 GBP
  • Engineer Role
  • Skills: AWS, Python, Data
  • Seniority: Senior

Job description

Data Engineer - FULLY REMOTE

Up to £65k DOE

My client are seeking a talented individual to help increase their delivery, managing a continuous integration and deployment tools, helping to define infrastructure as code, and with estimating system requirements, as well as monitoring smooth operations.

* You will work with external and internal stakeholders as well as team members when capturing and documenting IT requirements.
* You will show attention to detail and show strong problem solving skills when helping to spec out projects and infrastructure.
* You will help with the development of data pipelines, setting up data lake and data warehousing infrastructure.
* You will help creating new integrations with third party providers and external data sources.
* You will help with the development of dashboards and other reporting tools.
* You will be comfortable working to Agile principles and development methodologies.



Your Skills

Required

* Excellent knowledge of Python
* You will know common data query languages for relational and document databases.
* Experience working with version control tools, understand the importance of code reviews and coding standards).
* Experience with Messaging queues and event driven development (eg. Rabbit MQ, SQS).
* Experience setting up data pipelines, data extraction, transformation and load processes.
* Experience developing REST APIs.
* Understanding of common cloud metrics and alerting within AWS.

Desirable

* Experience with Apache Spark and Databricks.
* Experience using the AWS eco system, especially VPC, EC2, RDS and Redshift and the AWS Cloud Development Kit, Lambda.
* Experience with workflow management tools (eg. Airflow, Luigi).
* Experience working with continuous integration, CI/CD processes.
* Experience with orchestration tools (eg. Cloud formation, Kubernetes, etc).

To apply or for more info contact o.king@jeffersonfrank.com or call 0191 814 7785.

Ref: DE9874123JFI_1629385211

Data Engineer

Scotland, Edinburgh

  • 55000 to 67000 GBP
  • Engineer Role
  • Skills: AWS, Data, Python, ETL
  • Seniority: Senior

Job description

Data Engineer

Up to £67k - FULLY REMOTE (UK)



The Team and Role

My clients Data Team is working hard to collect, secure, transform, store, analyse and present data from their various business teams. They work in the renewable energy sector and are aiming to end fuel poverty in the UK. As of now, my client are seeking a talented individual to help increase their delivery, managing integration and deployment tools, helping to define infrastructure as a code.

Your Skills

Required

* Excellent knowledge of Python.
* Have knowledge of common data query languages for relational and document databases.
* Experience working with version control tools, understand the importance of code standards.
* Experience with messaging queues (e.g. Rabbit MQ, SQS)
* Experience setting up data pipelines, data extraction, transformation and load processes.
* Understanding of common cloud metrics and alerting within AWS.

Desirable

* Experience with Apache Spark and Databricks.
* Experience using the AWS eco system (e.g. VPC)
* Experience with workflow management tools.
* Experience working with continuous integration.
* Experience with orchestration tools (e.g. Kubernetes)

Your Responsibilities

* You will work with external and internal stakeholders as well as team members when capturing and documenting IT requirements.
* You will show attention to detail and show strong problem solving skills.
* You will help with the development of data pipelines.
* You will be comfortable working to Agile principles and development methodologies.



To apply or for more information contact c.whittle@jeffersonfrank.com or call 01913386624

Ref: SDAE3984JFI_1629565208

Data Engineer

Scotland, Glasgow

  • 45000 to 65000 GBP
  • Engineer Role
  • Skills: AWS, Python, Data
  • Seniority: Senior

Job description

Data Engineer - FULLY REMOTE

Up to £65k DOE

My client are seeking a talented individual to help increase their delivery, managing a continuous integration and deployment tools, helping to define infrastructure as code, and with estimating system requirements, as well as monitoring smooth operations.

* You will work with external and internal stakeholders as well as team members when capturing and documenting IT requirements.
* You will show attention to detail and show strong problem solving skills when helping to spec out projects and infrastructure.
* You will help with the development of data pipelines, setting up data lake and data warehousing infrastructure.
* You will help creating new integrations with third party providers and external data sources.
* You will help with the development of dashboards and other reporting tools.
* You will be comfortable working to Agile principles and development methodologies.



Your Skills

Required

* Excellent knowledge of Python
* You will know common data query languages for relational and document databases.
* Experience working with version control tools, understand the importance of code reviews and coding standards).
* Experience with Messaging queues and event driven development (eg. Rabbit MQ, SQS).
* Experience setting up data pipelines, data extraction, transformation and load processes.
* Experience developing REST APIs.
* Understanding of common cloud metrics and alerting within AWS.

Desirable

* Experience with Apache Spark and Databricks.
* Experience using the AWS eco system, especially VPC, EC2, RDS and Redshift and the AWS Cloud Development Kit, Lambda.
* Experience with workflow management tools (eg. Airflow, Luigi).
* Experience working with continuous integration, CI/CD processes.
* Experience with orchestration tools (eg. Cloud formation, Kubernetes, etc).

To apply or for more info contact o.king@jeffersonfrank.com or call 0191 814 7785.

Ref: DEG220128JFI_1629525606

Senior Data Engineer

England, London

  • Upto 65000 GBP
  • Engineer Role
  • Skills: Python, AWS, SQS
  • Seniority: Mid-level

Job description

Senior Data Engineer - FULLY REMOTE

Up to £65k DOE

My client are seeking a talented individual to help increase their delivery, managing a continuous integration and deployment tools, helping to define infrastructure as code, and with estimating system requirements, as well as monitoring smooth operations.

* You will work with external and internal stakeholders as well as team members when capturing and documenting IT requirements.
* You will show attention to detail and show strong problem solving skills when helping to spec out projects and infrastructure.
* You will help with the development of data pipelines, setting up data lake and data warehousing infrastructure.
* You will help creating new integrations with third party providers and external data sources.
* You will help with the development of dashboards and other reporting tools.
* You will be comfortable working to Agile principles and development methodologies.



Your Skills

Required

* Excellent knowledge of Python
* You will know common data query languages for relational and document databases.
* Experience working with version control tools, understand the importance of code reviews and coding standards).
* Experience with Messaging queues and event driven development (eg. Rabbit MQ, SQS).
* Experience setting up data pipelines, data extraction, transformation and load processes.
* Experience developing REST APIs.
* Understanding of common cloud metrics and alerting within AWS.

Desirable

* Experience with Apache Spark and Databricks.
* Experience using the AWS eco system, especially VPC, EC2, RDS and Redshift and the AWS Cloud Development Kit, Lambda.
* Experience with workflow management tools (eg. Airflow, Luigi).
* Experience working with continuous integration, CI/CD processes.
* Experience with orchestration tools (eg. Cloud formation, Kubernetes, etc).





To apply or for more info contact j.mckelvey@jeffersonfrank.com or call 0191 338 7638.