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For Permanent in London

Test Engineer

England, London

    Salary: register to unlock
  • Engineer Role
  • Skills: Testing, Ansible, Terraform, AWS
  • Seniority: Mid-level

Job description

Test Engineer - £60-80K - London - Insurance

Test Engineer - £60-80K - London - Insurance

Our client, a large Insurer, are on the lookout for a Test Engineer to join the team that manages the AWS Cloud Platform. This team allows the business to deploy onto the cloud, so the role has a strong focus on Cloud Infrastructure (AWS).

This is a great opportunity to take ownership on a mature large cloud footprint, the role will involve writing software and unit testing, test scenarios and implementing tests.

The right candidates will have the following experience:

* Must have experience in testing infrastructure as code such as Ansible and Terraform (essential)
* Experience testing application code based on languages such as Python
* Confident using systems such as Jira and Confluence to manage workload and documentation
* Ability to articulate complex technical problems to a technical and non-technical audience
* Experience working with AWS

The role will be working hybrid out of their London office.

The client is actively looking for these candidates and will be interviewing within 48 hours. If you'd be keen to hear more, simply send an email to l.chamberlain@jeffersonfrank.com or give me a call on 0203 808 7310.

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.

Lead Serverless Back End Developer

England, London

    Salary: register to unlock
  • Engineer Role
  • Skills: AWS, LAMBDA, SERVERLESS, S3, NODE.JS, SEVERLESS ENGINEER, BACK END
  • Seniority: Senior

Job description

I have a fantastic and unique opportunity on for a Lead Serverless Engineer who specialises in Node.js. The company create the visual effects for Hollywood movies, advertising and immersive.



You will be working with some of their largest retail clients and investment bankers on their digital signage.



You will come in and take complete ownership of their new infrastructure based on AWS, Serverless, Node.js, TypeScript and IoT. You will be at a Lead level and really make a difference for the company. All the projects are greenfield, so it's a great time to join where you'll have complete autonomy whilst being supported by a successful global business.



Key Requirements:

* At least 8+ years of commercial development experience
* Typescript: 3-5+ years experience
* Node: 3-5+ years experience
* AWS: 3+ commercial years experience, including a strong knowledge of most of the below:

* DynamoDB - Must have
* S3 - Must have
* CloudFront - Must have
* APIGW - Must have
* Lambda - Must have
* IAM roles and policies - Must have
* SQS/SNS
* Cloudwatch (for logging, monitoring and metrics)
* IoT Core
* Elastic Transcoder
* Cognito (SAML)
* CDK (typescript) and CloudFormation - for deploying API IAC

Benefits:

* Work on unique greenfield projects using modern technologies
* Plenty of career progression opportunities
* Highly competitive salaries
* Flexible working
* BUPA medical insurance
* A range of other perks



Their office is in London, you will be required to go into the office twice a week.



The interview process is a 2 stage process, both video calls.



If you're interested please contact c.davies1@jeffersonfrank.com with a copy of your CV

Lead Serverless Back End Developer

England, London

    Salary: register to unlock
  • Engineer Role
  • Skills: AWS, LAMBDA, SERVERLESS, S3, NODE.JS, SEVERLESS ENGINEER, BACK END
  • Seniority: Senior

Job description

I have a fantastic and unique opportunity on for a Lead Serverless Engineer who specialises in Node.js. The company create the visual effects for Hollywood movies, advertising and immersive.



You will be working with some of their largest retail clients and investment bankers on their digital signage.



You will come in and take complete ownership of their new infrastructure based on AWS, Serverless, Node.js, TypeScript and IoT. You will be at a Lead level and really make a difference for the company. All the projects are greenfield, so it's a great time to join where you'll have complete autonomy whilst being supported by a successful global business.



Key Requirements:

* At least 8+ years of commercial development experience
* Typescript: 3-5+ years experience
* Node: 3-5+ years experience
* AWS: 3+ commercial years experience, including a strong knowledge of most of the below:

* DynamoDB - Must have
* S3 - Must have
* CloudFront - Must have
* APIGW - Must have
* Lambda - Must have
* IAM roles and policies - Must have
* SQS/SNS
* Cloudwatch (for logging, monitoring and metrics)
* IoT Core
* Elastic Transcoder
* Cognito (SAML)
* CDK (typescript) and CloudFormation - for deploying API IAC

Benefits:

* Work on unique greenfield projects using modern technologies
* Plenty of career progression opportunities
* Highly competitive salaries
* Flexible working
* BUPA medical insurance
* A range of other perks



Their office is in London, you will be required to go into the office twice a week.



The interview process is a 2 stage process, both video calls.



If you're interested please contact c.davies1@jeffersonfrank.com with a copy of your CV

Senior Data Engineer - AWS Partner - £90K

England, London

    Salary: register to unlock
  • Engineer Role
  • Skills: AWS, Linux, Python, SQL, Redshift
  • Seniority: Senior

Job description

AWS Data Engineer - Senior Level - Fintech - London

Flexible to remote and hybrid working.

Jefferson Frank are supporting a fintech consultancy applying innovative connected data approaches (graph databases, semantic and related technologies) to complex requirements for the financial services industry and NGOs.

The client has extensive experience in developing ESG data and software, leveraging the latest data science, big data, machine learning, data visualisation and financial research techniques. They are recognised as being at the forefront of applying these technologies to their work.

They are proud to be working on unique and impactful problems in the ESG and sustainability space, using a modern and varied tech stack.

They have built a relaxed, collaborative and innovative working environment and a great team of bright people at our London office in Kennington Lane. We embrace flexible working practices valuing both office based and remote working.

About the role

Looking for a mid-level or senior Data Engineer to join the team. The role will involve working with a wide range of financial and sustainability data to build connected datasets and tools to provide market leading insight into specific ESG issues in support of our products and consultancy work. High quality data engineering is a cornerstone of what we do and as such we are looking for someone with a demonstrated track record applying solid engineering principles to complex problems and data sets.

Candidates should have a strong computer science or equivalent technical background. Portfolio pieces illustrating Data Engineering and skills are strongly encouraged. It is useful, but not essential, to have experience using graph / semantic / linked data technologies, graphql, graph databases, Natural Language Processing (NLP) and machine learning techniques.

Knowledge of ESG and finance data is not necessary but an interest in the subject matter is useful.



Responsibilities:

* Developing complex ETL pipelines using Python and query languages such as SQL, GraphQL and Cypher.
* Wrangling data, standardising and conforming data to common data models
* Ensuring data quality and data integrity of our key datasets
* Managing resources on AWS and using those tools to run and schedule data processing and ingestion jobs
* Participating in Agile development activities, attending daily stand-ups, sprint planning, sprint review and sprint retrospective meetings
* Using SDLC systems (specifically Git, Jira, deployment models)
* Mentoring or providing technical guidance to colleagues and more junior team members.
* Contributing to wider project and product management practices contributing your technical expertise to help shape how the company approaches new challenges.
* Neural Alpha is a small tight-knit team and from time to time you may be asked to contribute to non-engineering activities such as business development or project management in support of your colleagues.



Experience (not all a prerequisite):

* Educational Background in Computer Science or alternative STEM degree
* 3+ years of commercial experience essential
* Preference for experience with: Python, GraphQL, Cypher, SQL. Evidence of problem solving capacity and engineering skills, just as important.
* Experience of working with corporate data e.g. in a financial crime analytics, AML / KYC environment
* Experience of data matching and entity resolution (e.g. addresses, names and companies)
* Experience of deploying Microservices
* Experience of modern development standards and best practices - TDD, CI/CD
* Experience of or interest in ESG data or sustainability/biodiversity data concepts

Locations

We are recruiting on the basis of 3 staffing models for this role:

* London based - 50 / 50 office & remote based.
* Hybrid - 1 day per week travel to the London office
* Fully remote in Europe with occasional travel to London

Company Benefits

* Annual discretionary bonus scheme
* Flexible working practices with the ability to work remotely
* 25 days starting holiday
* Eligibility to company share options scheme after passing 6 month probationary period

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the AWS recruitment market and, to date, have worked with over 30,000 organizations globally.

SAS Engineer (DI Studio)

England, London

    Salary: register to unlock
  • Engineer Role
  • Skills: SAS Analytics, Base, SAS DM Studio, SAS Decision manager, SAS DI server, SAS DI Studio, SAS Enterprise guide, SAS Fraud framework, SAS Information maps, SAS Model manager, SAS Platform administration, SAS Programming, SAS Visual Analytics, SAS Visual
  • Seniority: Mid-level

Job description

SAS Data Engineer

Salary £40,000 to £60,000 DOE

Flexible Remote (UK only) - Security Clearance eligible

My client are one of the biggest names in technology and modern cloud consulting, they boast a world class data and analytics centre and are looking to add to their team. They provide a wide range of cutting edge data and analytics solutions to the Public Sector to revolutionise the UK Government's data platform and maximise insight, accesibility, revenues, reduce fraud etc - they key lifeblood of the Public Sector.

You will work in an Agile team collaborting closely with Architects, Product Managers and Solution Architects.

Experience Required:

* Technical expertise with tools like: SAS Analytics, Base, SAS DM Studio, SAS Decision manager, SAS DI server, SAS DI Studio, SAS Enterprise guide, SAS Fraud framework, SAS Information maps, SAS Model manager, SAS Platform administration, SAS Programming, SAS Visual Analytics, SAS Visual Investigator, SAS Visual text analytics, SAS Visual mining and machine learning. SAS Viya, SAS Web reporting and dashboard.
* Experience as a software engineer delivering within large scale and complex 'big data' and data analytics solutions.

The Role

* You will be working in an agile delivery team within an agile scrum framework.
* Work across various software engineering principles including requirements gathering, analysis, design, coding, development, testing, implementation and support.
* Contribute to various teams providing ideas and innovation/process recommendations, help mentor other team members, strong information sharing culture.
* Client and stakeholder engagement

Benefits

* Annual training budget, 10% of your annual working hours dedicated to this, learn cloud native technologies
* Internal technology university to obtain qualifications
* Excellent pension
* Flexibility around working from home

For more information please apply below or reach out to Steven Mcka at Jefferson Frank on Linkedin or by email: s.mckay@jeffersonfrank.com



If this is of interest please apply below or email Steven Mckay at Jefferson Frank directly with your CV: s.mckay@jeffersonfrank.com.

New

Senior Data Engineer

England, London

    Salary: register to unlock
  • Engineer Role
  • Skills: AWS, Python, SQL, Snowflake, databricks, snowflake, leadership, azure
  • Seniority: Senior

Job description

SENIOR DATA ENGINEER - London - 85k + Package

Role Overview:

My client are currently looking for an outstanding experienced Data Engineer to join their growing engineering team and lead their Data Engineering work. This is a broad role not only supporting their blue-chip private sector and public sector clients on cutting-edge data engineering and data-driven marketing solutions, but also supporting them to create and scale products and to build the next generation of Data Engineering talent.

About us:

They are a team of data specialists who design, build, and embed cutting edge-data solutions that create value. Through combining in-house expertise with an extensive network of specialist and academic partnerships, they help their clients to become more efficient and more effective through data.

Their ability to support across all parts of the transformation journey makes us different. From strategy and engineering, through to analysis, machine learning and BI, we bring all the necessary skillsets together to produce genuine business impact and strong ROI for their clients.

Whether it's to drive profitable revenue growth, retain the best talent, report on ESG metrics, or embed a data-driven mindset to improve the adoption of new tools, they support their clients to solve their biggest and most pertinent business challenges.

Theyre committed to using data for good, their philanthropic foundation, they care, offers staff the opportunity to be a part of the heart of their business.

About the Data Academy:

Through their Data Academy, they deliver contextualised data training programmes to support the adoption of new data solutions and to increase data literacy at all levels. These programmes are designed and delivered by subject matter experts who fuse deep technical knowledge, heightened commercial awareness and a personal passion for bringing data to life for non-technical audiences. Alongside this, they provide specialist talent support for their clients through secondments and talent development programmes.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data intensive software systems and building them from the ground up, who understands the value of good quality software engineering in data. The Data Engineer will work with our software developers, engineers and data scientists on data initiatives and will ensure the creation and maintenance of well-designed ELT & ETL processes, data architecture, semantic layers and APIs for both internal and external clients, primarily in AWS, but also Azure & GCP.

You will have good potential for personal and career development, learn from and share knowledge with a range of talented, highly skilled and internationally diverse team of colleagues. All of this while embarking on an exciting journey with a pioneering, fast-growing company situated at the heart of London's Tech City.

Key Responsibilities

* Working within a team of engineers & data scientists amongst other stakeholders to identify and implement best solutions for the analytical needs of a project
* Utilising & improving best practices of software engineering, version control, integration & unit testing, ticket management etc
* Delivering high quality code to solve data problems
* Communicating complex concepts both within and outside the technical teams
* Understanding & researching new technologies to ensure we implement the best solution for the problem
* Communicating roadmaps, deliverables & ticket updates with clients

Knowledge & Experience

* Architected end-to-end solutions for clients in a fast paced agile, environment
* Experience of working collaboratively across teams, to ensure learning and development of platforms, understanding alignment, and consistent coding standards
* Strong background in handling relational, semi-structured and unstructured data
* Worked extensively in building scalable and high-performing code, fit for production
* Determined technology choices and infrastructure on a project-by-project, case-by-case basis to ensure solutions are delivered without compromise
* Experience of developing training or teaching materials an advantage

Skills & Competencies

* Strong Python programmer
* Deep AWS understanding across core and extended services
* Understanding of IAC tooling (Terraform, Serverless)
* Strong SQL knowledge and experience, both DML & DDL across a variety of dialects
* Experience with at least one business intelligence tool - Tableau or PowerBI would be ideal
* Knowledge of data engineering frameworks would be beneficial (dbt, Snowflake, Databricks)
* Understanding of DevOps principles and paradigms, ideally with proven skills in software such as Github Actions & CodePipeline.
* Experience with JavaScript (Especially Node.JS) and R is not necessary but considered a plus.
* Strong problem-solving skills, willingness to take ownership and risks, and enthusiasm in the face of technical challenges
* Strong project management and organisational skills, with the ability to prioritise and meet deadlines in a calm and effective way
* Excellent interpersonal skills and the ability to work in a team environment.
* Strong communication skills, with the ability to support client meetings and communicate data engineering techniques to develop the skills of others
* Client focused, with the ability to interpret and understand client needs and deliver results
* The ability to understand the wider company operations, goals and objectives and where data engineering can add value
* A proactive approach and the ability to be self-managing and innovative.