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Job Description

For my new client in Norway I'm looking for Medior and Senior Front-end engineers who are likely to join a complicated project within my opinion the coolest organisation so far I worked for! This is an engineering role you are not aloud to talk with your family or friends about (this secret).


Skills & Qualifications

• 3 years working with Angular 2+
• Strong understanding about the basics (vanilla JS)
• Strong communication skills (English)

Role & Responsibilities

• TypeScript
• Angular 2+
• JavaScript

Benefits

• Salary up to 80k
• Visa provided
• Work permission provided

If you like to learn more, feel free to contact me of ping a message on LinkedIn!

We are searching for a data engineer to join the team in Oslo!

You will be joining a competent data & analytics environment with over 20 members who are making a meaningful contribution towards our journey to be more data-driven every day

We are creating a modern analytics platform which can be accessed across the organisation and allow for efficient and quality insights to various teams - your task is to make this data accessible!

You will take part in the end-to-end process, from understanding the data needs, to implementing flexible, scalable and secure pipelines

Due to the size of the organisation, and variety of departments, you will be transforming data from numerous sources, and ensuring solutions are simple but effective



Day-to-day tasks can be varied, and we encourage employees to work cross-functionally to gain a better understanding of the the tasks they are completing, and how their work impacts colleagues, and wider teams in the business

Skills & Experience:

• 3+ years of work experience as a data or software engineer
• Proficiency in SQL and Python
• Experience with data modelling and solution design
• Familiarity of Agile methodologies, such as DevOps and CI/CD
• The infrastructure is AWS, although experience with Azure/GCP is also considered beneficial

The working environment can be fast-paced, with time to innovate and experiment along the way!

Building a strong team culture is important, and there is one fixed office-day per week to meet with colleagues and collaborate in person

The team is international with a diverse academic and industrial background, and a combined committment to digital transformation and creating valuable insights

As a person, we hope you are a true team player and a supportive colleague who is able to mentor juniors in the team, and also collaborate with seniors and management to continually develop personally and professionally

For any questions, contact Lucy on l.whiting@jeffersonfrank.com

I am working with a leading provider of IT solutions to the marine insurance industry based in Bergen. I am searching on their behalf to find an experienced individual to join their team.

Due to mass business growth they are looking to expand their team by adding an experienced Team Lead to take the reigns. Most of their products are based on services in Azure, with backend development in C # .Net Core and React frontend.

Tasks

• Lead the development team in Bergen
• Responsible for specification and detailing of tasks
• Architectural tasks related to the platform
• Deliver code to final product
• Contribute to competence transfer in the team
• Drive processes and problem solving within the team

Benefits

• Great Salary & Benefits package
• Flexible working pattern.
• The ability to work with an international market leading company.

We are looking for a team member with knowledge of Linux systems, general networking and some software development skills. You will need to be operating closely with similar teams globally in the global organisation. Most of our work is in C++ and Python , running under Linux, both in cloud and on our own on-premise servers.

• Participate in operational activities such as system monitoring, configuration and upgrade
• Create and maintain appropriate documentation for software and systems
• Work independently and in teams according to needs

• Experience with Python software design and development
• Experience with Kubernetes, Docker, Ansible
• Good knowledge of DevOps fundamentals and solutions
• Linux sysadmin and shell scripting skills
• Strong knowledge of networking and main protocols
• Experience with local and cloud Git solutions, CI/CD routines
• Good written and oral English

What we offer

• Flexible work hours, opportunities for remote work / home office
• Excellent office facilities in a favourable area

We are growing our core team responsible for creating data-driven products and services, with a focus on scalability, robustness, and security, your role will be a critical part of the analytics environment

You will work closely alongside data scientists, data engineers, and machine learning engineers across the business, collaborating to produce state-of-the-art solutions in data processing and services

The data you work with allows for insights in to customers behaviour and profile, as well as the efficiency of marketing campaigns, and allowing for more personalised and targeted material across the group

The team are responsible for maintaining and developing machine learning models that are empowering many use-cases such as: producing insights about our customers, segments for the online advertising on our sites and personalisation of news

You will also have the opportunity to share knowledge and learn from other data scientists and engineers across the organisation

We encourage a diverse, collaborative and creative work environment, where you will develop and push for state-of-the-art solutions in big data processing as well as building reliable and highly scalable services.

Your day-to-day could include:

• Working together with machine learning engineers and data scientists on deployment and
• monitoring of our machine learning models
• Building, maintaining, designing and optimising data processing pipelines
• Ensuring best practice across the team with code reviews and testing, as well as solid data
• governance
• Working closely with product managers to produce solutions meeting customers needs, as well as
• assisting internal teams to allow for more data-driven products and services

If you have an interest in machine learning and data science, you will have the chance to work with the team on monitoring and deploying ML models

Skills & Experience:

• University education in computer science or similar
• Experience with one or more of the following languages: Python, Scala, Java
• Knowledge of DevOps/ CI/CD solutions is beneficial
• Experience with public or private Cloud and container technology

For any questions, contact Lucy on l.whiting@jeffersonfrank.com

We are looking for a data engineer to join a growing in-house team in Oslo!

As a company in FinTech, you will work with a variety of data sets and sources, including customer information, transactional data, and product/operational data

You will be joining an established data & analytics team consisting of data engineers, scientists and analysts, allowing you to work cross-functionally, and gain a great insight into the entire data lifecycle. You will work collaboratively with the analysts and scientists to ensure a cohesive process and optimise the platform for business-use.

You can take an active role in building & operating the data platform based on Azure - working with Data Factory and Databricks. You will also get to work on engineering and implementing highly scalable systems and data pipelines in the platform, and design & implement solutions to support data lake and data warehousing infrastructure

As an experienced member of the team, you will take an active role in defining standards and best practice for data engineering, and communicate these with the teams

Your work will allow teams across the business to develop data-driven products and services, and you can engage with stakeholders to understand business processes & value drivers

We are looking for you to have at least some of the following skills/experience:

• Experience with Python
• Experience with SQL
• Experience of developing services and applications on Cloud is beneficial
• Familiarity of ETL-processes
• Knowledge and hands-on experience with some of the state-of-the-art big data technologies, i.e. Kafka or Spark is beneficial

There are lots of benefits on offer, including:

• A competitive salary based on experience
• 7-16% pension
• Comprehensive medical insurance with guaranteed specialist care and 24 hour access to a doctor
• Travel insurance for yourself and close family (business and leisure travel)
• All tools required for your role
• Access to training, courses and workshops
• Personalised progression plan, whether you hope to eventually lead your own team, or perhaps explore new opportunities in fields such as BI, data science, ML or advanced analytics - anything is possible!

For any questions, contact Lucy on l.whiting@jeffersonfrank.com

We are looking for a data engineer in Bergen!

The solutions you can provide will range from helping customers to optimise processes, to delivering complete end-to-end data solutions

You will be working with the whole MS BI & Data stack: DW, ETL, analysis and reporting, Azure Data Lake and Data Factory

Joining a dedicated team of 15, you will work closely with clients across a range of industries - with a particular emphasis on customers in finance, logistics, shipping & aquaculture

With a focus on building long-term relationships with customers, you will have great influence over the projects you work on, the solutions you suggest (be as creative as you can!), and the responsibility to own your own projects and work together with colleagues to deliver complete solutions

We want a dynamic and creative workplace with room to grow, develop and have fun together. Therefore, we encourage everyone who works with us to try to be a role model for their colleagues and live by the values: Recognition, Commitment, and Customer Experience

To achieve this, we invest in our employees to help them be the best they can be!

Courses & certifications are encouraged, and covered by the business (we make time during your 'billable hours' and personal development is just as important as professional development - and we know your time outside of work is sacred!)

Skills & Experience:

• Strong academic background in engineering/IT related subject
• 2+ years professional experience in data engineering or BI
• Experience with Microsoft technologies, including MSSQL, Power BI and Azure is beneficial

Benefits:
* 6% pension
* Excellent health insurances
* Phone & laptop
* Courses & certifications fully funded and completed during working hours
* Flexibility on how/where/when you can work
* Can work abroad for 1 month per year



For any questions, contact Lucy on l.whiting@jeffersonfrank.com