Methods (Deleted) on cord

Methods (Deleted)

Data Engineer

External position
London, UK
Analytics · Consultancy
The UK’s leading independent transformation partner for public services.
The company is no longer hiring for this position.

Skills & Experience

Job roles: Data Engineer
Experience level: Mid, Senior
Tech stack/tooling used: Azure, Data Warehousing, Python
Core skills considered: Azure, Data Warehousing, Python
Other skills considered: Pyspark, Databricks, ETL, Spark

Logistics

Base salary: £40K - £50K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Established over 30 years ago and UK-based, we apply our skills in transformation, delivery, and collaboration from across the Methods Group, to create end-to-end business and technical solutions that are people-centred, safe, and designed for the future.

Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet.

We support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them.

Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio.

Methods was acquired by the Alten Group in early 2022.

Methods is currently recruiting for a Data Engineer to join our team on a permanent basis. This role will include some work on client sites and frequent visits to our main offices in London. 

Requirements

The Data Engineer will:

  • Work with other members of the delivery team across a mix of large and small projects and be responsible for translating data into valuable insights that inform decisions for small to large transformation projects and programmes.
  • Be responsible for identifying and using the most appropriate analytical techniques, developing fit-for-purpose, resilient, scalable and future-proof data services that meet user needs and design and write and iterate code from prototype to production-ready.
  • Communicate effectively across organisational, technical and political boundaries to understand the context and how to make complex and technical information and language simple and accessible for non-technical audiences.
  • Work with the others to support the growth and development of the team

Ideal Candidates will demonstrate:

  • Experience with Relational Databases and Data Warehousing experience
  • Experience of programming in languages such as Python, PySpark, R, Scala or Java
  • Experience processing large volumes of structured/semi-structured data
  • Experience producing data models and understand where to use different types of data models
  • Knowledge of data cleaning, wrangling, visualisation and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks
  • Have cloud-based experience, preferably with Azure and/or GCP
  • Have experience with ETL / ELT
    • Infrastructure, Azure Data Factory, Azure Synapse, Databricks
  • Have experience with Analytical/Reporting tools
    • Power BI, Tableau, Looker, QuickSight
  • DevOps experience, such as using Git, CI/CD and Unit Testing
  • Have attention to detail and ability to quality assure their own and other team members’ work
  • Understanding of how to expose data from systems (e.g. through APIs), link data from multiple systems and deliver streaming services.
  • Know how to ensure that risks associated with deployment are adequately understood and documented.
  • An ability to translate business requirements into technical specifications
  • Experience of iterative/agile development methodologies such as SCRUM
  • A good understanding of Data Governance principles and the safe handling and processing of Personal Identifiable Data

Desirable Skills & Experience:

  • Streaming and real-time data
  • Knowledge of statistics principles necessary to interpret data and apply models. For example, knowledge of errors and confidence intervals to understand whether a relation seen in the data is real.
  • Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database)
  • Understanding of distributed computing, columnar type databases, partitioning, map reduction
  • Big Data Frameworks experience, such as Hadoop and Apache Spark
  • Experience with NoSQL type environments, Data Lakes, Lake-Houses (Cassandra, MongoDB or Neptune)

This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected . Details of this will be discussed with you at interview. 

Company Benefits

  • Choice of MacBook or PC, iPhone
  • Holiday: 25 days a year, plus bank holidays, with the option to buy 5 extra days each year
  • Pension: 4% employer contribution and 5% employee contribution
  • Discretionary bonus: based on company and individual performance
  • Life assurance: 4 times base salary
  • Private medical insurance: non-contributory (spouse and dependants included)
  • Worldwide travel insurance: non-contributory (spouse and dependants included)
  • Enhanced maternity and paternity leave after 18 months service
  • Wellness: 24/7 confidential employee assistance programme, including counselling
  • Social: Parties and social events, and commitment to charitable causes
  • Professional development: access to LinkedIn Learning, and discretionary training budget
  • Travel: season ticket loan, cycle to work scheme

Interview Process

  • Phone Screen
  • 1st interview
  • 2nd interview
  • Offer

Skills of candidates in conversation

Python
SQL
AWS
Pandas
Machine Learning
D
Employee
Active over 6 months ago
Methods (Deleted) are no longer hiring for this position.

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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