Company

TopyorkshireSee more

addressAddressLeeds, West Yorkshire
type Form of workPermanent
CategoryEngineering

Job description

JOB TITLE:Data Engineer

SALARY: The salary banding for this role is £45,954 - £51,060

LOCATION: Edinburgh & Leeds

HOURS: 35 hours, full time

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.

About this opportunity

Colleague Lab sits at the intersection of colleague and customer experiences across IP&I. We're on a values led mission to reimagine the way our customers interact with us, and the tools and experiences our colleagues are empowered with when helping them. By reducing failure demand, increasing self-service and automating processes, through technology, systems design, AI, and human centred design, our Lab works cross-channel across IP&I to make change happen, at pace.

So what would you be doing for us?

Joining us as a Data Engineer within the Colleague Experience Lab, you'll play a key role in facilitating and resolving the Lab's data requirements alongside the Product Owners, Customer Journey Managers and Data Analysts. You'll provide critical data expertise to assist pre-processing and gather data, help to represent data using various reporting and visualisation tools and contributing new datasets into the mix, investigating and analysing data to recommend and support solutions for customers.

You'll help to develop, test and maintain high quality, reusable data pipelines, ingesting structured and/ or unstructured data into our data lake, and curating data for consumption through analytics and BI. You'll be working in a variety of server and cloud environments, using innovative toolsets, as well as evaluating exciting new technologies to expand our capabilities.

An ideal Data Engineer for the lab will be technically literate, experienced in numeric data analysis, enthusiastic for problem solving and analysis, able to communicate well and have a passion for designing and developing efficient, re-usable assets and capabilities to benefit our customers.

Why Lloyds Banking Group

From building a truly sustainable business to creating a place where people love to work, we need colleagues who are up for the challenge of our bold ambitions. Who are excited to push boundaries and make change happen. Together, we can grow with purpose.

What you'll need

  • Experience with using and building data warehousing solutions, and big data technologies like Hadoop and Kafka.

  • Good knowledge of SQL and NoSQL databases such as PostgreSQL and MongoDB, to build data pipelines that involve cleaning, transforming and aggregating data from various sources.

  • Good programming skills in Python, for data processing, ETL operations and analysis.

  • Experience in numeric data analysis and helping teams to make better decisions.

  • Understand data handling, modelling, and reporting techniques along with strong understanding of the business.

  • Experience in interacting with partners to gather right data.

  • Excellent communication skills & interpersonal skills.

And any experience of these would be really useful

  • Knowledge of scripting in object-oriented languages e.g. Java

  • Knowledge of building data pipelines via cloud-based solutions.

  • Insurance, Pensions & Investments Product Knowledge.

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.

We want our people to feel that they belong and can be their best, regardless of background, identity or culture.

We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.

And it's why we especially welcome applications from underrepresented groups.

We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know

We also offer a wide ranging benefits package, which includes:

  • A generous pension contribution of up to 15%

  • An annual performance related bonus

  • Share schemes including free shares

  • Benefits you can adapt to your lifestyle, such as discounted shopping

  • 28 days' holiday, with bank holidays on top

  • A range of wellbeing initiatives and generous parental leave policies

Want to do amazing work, that's interesting and makes a difference to millions of people? Join our journey.

Refer code: 2826499. Topyorkshire - The previous day - 2024-02-18 09:52

Topyorkshire

Leeds, West Yorkshire

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