Data Engineer

Dev; Greater London; Hybrid; GBP 61,000 - 77,000; Full time

Job summary

A leading financial institution in Greater London is seeking a Data Engineer to join their collaborative team. This role includes developing high-quality data pipelines and collaborating closely with Machine Learning Engineers. Key skills required are strong coding expertise in Python and SQL, along with a solid understanding of data structures. The position offers hybrid working arrangements and a comprehensive benefits package, including performance bonuses and generous leave policies.

Benefits

Discretionary annual group performance bonus

Generous pension contribution of up to 15%

30 days holiday plus bank holidays

Private Health cover

Share schemes

Generous parental/adoption leave policies

Qualifications

• Good coding/scripting experience using Python and SQL developed in a commercial/industry setting.
• Clear understanding of data structures, algorithms, software design, and core programming concepts.
• Experience delivering analytical use cases in a cloud-based environment.

Responsibilities

• Develop high quality, reusable data pipelines at scale for structured and unstructured data.
• Collaborate regularly with Machine Learning Engineers and Data Scientists.
• Evaluate new technologies and translate data into analytics opportunities.

Skills

Python

SQL

Data structures and algorithms

Tools

Hadoop

GCP

Azure

Job description

Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of these communities, please register, even if you feel this opportunity may not be the right fit.

Company Name: Colten Care

Salary Range £61,176 - £76,470

We support agile working – click here for more information on agile working options.

Agile Working Options Other Agile Working Arrangements / Open to Discussion

About the role

We're a multi-functional team, collaborating closely across numerous teams to solve some of the Bank's toughest business problems. We want to grow our team of data engineers who analyse data and build pipelines in distributed environments using Python, SQL and a wealth of other data technologies. You'll provide the much-needed 'data expertise' to help shape the approach to solving the problem and contributing new/interesting datasets into the mix.

You'll develop high quality, reusable data pipelines at scale, ingesting structured and unstructured data into our data lake. You would collaborate regularly with Machine Learning Engineers and Data Scientists while working in our Hadoop, Spark, Teradata, GCP and Azure environments. So you'll need to show a genuine passion for developing new solutions, evaluating new tech and translating data into analytics based opportunities – role-modelling Data Engineering as it should be in the new digital age.

Essential experience

• Good coding/scripting experience using Python and SQL developed in a commercial/industry setting.
• Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts.
• Experience delivering analytical use cases in a cloud based environment.

Bonus experience

• Exposure to Hadoop technologies (e.g. HDFS, Hive, HBase) or prior experience working with high volume, low latency data storage and analytics platforms.
• Exposure to GCP cloud tooling (e.g. Cloud DataFlow, BigQuery).

What you'd get in return

Our function is full of down-to-earth people passionate about data and sharing their expertise. And as Data underpins so many important initiatives it's an area with huge career potential as well as offering you horizon-expanding exposure to a host of wider technologies.

Offering hybrid working patterns (2-3 days in either our London or Bristol hub) we believe that a healthy work/life balance is as important as the work we deliver, just let us know what might work for you.

We’re also passionate about diversity and equal opportunity with industry recognition across gender, ethnicity, disability, LGBTQ+ and families. And, being disability positive, reasonable adjustments can be accommodated in our Recruitment process.

We’ll also offer you a comprehensive package that includes:

• Discretionary annual group performance bonus
• Generous pension contribution of up to 15%
• A 4% flex cash pot to spend on lifestyle benefits (or take as cash)
• 30 days holiday plus bank holidays
• Private Health cover you can extend to family members
• Share schemes, including free shares
• Generous parental/adoption leave policies

So if you possess the Data Engineering skills we’re after then get in touch, we’d love to hear from you!