Methods (Deleted) on cord

Methods (Deleted)

Data Engineer

External position
London, UK
Remote in 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: Junior, Mid, Senior
Tech stack/tooling used: Python
Core skills considered: ETL, SQL, Python
Other skills considered: Azure, AWS

Logistics

Base salary: £35K - £60K
Employment type: Permanent
Remote working: Hybrid (up to 3 remote days p/w), Remote (~ fortnightly office visits)
Work from: Within United Kingdom
Working Timezones: (UTC) London +/- 2 hours
Visa sponsorship: Not available

Job Description

Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis.

This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.

Salary will be between £40,000 and £60,000 depending on experience.

As a Data Engineer, you 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. Working with other members of the delivery team you will 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. This will frequently involve communicating 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.

Requirements

You will be:

  • Able to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services.
  • Producing data models and understand where to use different types of data models.
  • Collecting, collating, cleansing, synthesising and interpreting data to derive meaningful and actionable insights.
  • Aware of, and keep up to date with advances in digital analytics tools and data manipulation products.
  • Following Data Governance principles and the safe handling and processing of Personal Identifiable Data.
  • Able to work with relational database modelling, analysis, optimisation, star schema/ snowflake models, ETL (Extract Transform Load), normalisation, complex SQL queries, stored procedure, automation scripting.
  • Proficient in creating effective data visualisations, appropriate to the audience using tools such as Power BI, Tableau, or other similar BI visualisation tools.
You will demonstrate:
  • Experience with Relational Database and Data Warehousing design
  • Experience processing large volumes of structured/semi-structured data (mainly CSV/JSON)
  • Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks
  • DevSecOps experience, such as using Git, CI/CD and Unit Testing
  • Experience with coding or scripting in at least one language, preferably Python
  • Experience in T-SQL development, including debugging & troubleshooting
  • Ability to promote best practice and continued development across the business
  • Understanding of Azure, AWS, or other similar cloud platforms, and how they are different from on-premises platforms
  • Experience in setting up business metrics to evaluate the quality of a solution
  • Experience in SQL Server Integration Services (SSIS)
  • Good experience with ETL
  • Ability to work on own initiative with minimum supervision in a deadline-driven environment
You may also have desirable skills and experience:
  • Experience with Microsoft Azure, specifically Azure Data Factory and Azure SQL
  • Understanding of Data Science, AI, and big data principals
  • Streaming and real-time data
  • Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database)
  • 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
  • Working within a continuous integration environment with automated builds, deployment and unit testing
  • Exposure to iterative/agile development methodologies such as SCRUM
  • Knowledge or and experience in SDLC or a software development background
  • Knowledge or and experience of Azure Databricks and/or Synapse
  • Experience with containerisation (Docker, Kubernetes, AWS ECS/EKS, Redshift)

Working at MA

Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.

We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility.

We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes.

We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.

We are passionate about our people; we want out colleagues to develop the things they are good at and enjoy.

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

By joining us you can expect:

  • Autonomy to develop and grow your skills and experience
  • Be part of exciting project work that is making a difference in society
  • Strong, inspiring, and thought-provoking leadership
  • A supportive and collaborative environment

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.

Benefits

Methods Analytics is passionate about its people; we want our colleagues to develop the things they are good at and enjoy.

By joining us you can expect:

  • Autonomy to develop and grow your skills and experience
  • Be part of exciting project work that is making a difference in society
  • Strong, inspiring and thought-provoking leadership
  • A supportive and collaborative environment

As well as this, we offer:

  • Development access to LinkedIn Learning, a management development programme and training
  • Wellness 24/7 Confidential employee assistance programme
  • Social - office parties, pizza Friday and commitment to charitable causes
  • Time off 25 days a year
  • Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
  • Discretionary Company Bonus based on company and individual performance
  • Life Assurance of 4 times base salary
  • Private Medical Insurance which is non-contributory (spouse and dependants included)
  • Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
  • Benefits Platform offering various retail and leisure discounts

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

  • 2 Stage Interview
  • 1st Stage - Technical Test, followed by a interview with members of the team.

Skills of candidates in conversation

Python
SQL
ETL
Azure
AWS
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
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Message Alex Yeates at Starling Bank
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