Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 2 days ago

Data Engineer

Workable (global search)108,016 open roles

Where
Ancoats, Manchester, United Kingdom
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData EngineerWorkable (global search) · Ancoats, Manchester, United Kingdom

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 2 days ago

Workable (global search) median: 7 days open

The posting

We’re DF Capital – a specialist bank providing award-winning commercial finance, retail finance, and savings products to consumers and small businesses.

Based in Manchester, we serve thousands of customers across the UK and into Europe, supporting their ambitions with tailored financial solutions.

We help our customers realise their ambitions by doing things differently – combining the agility and innovation of a specialist lender with the security and service standards of a regulated bank. Whether it’s flexible lending structures or straightforward savings options, we focus on what matters most to our customers.

In 2025, we launched DF Capital Retail Finance – a subsidiary of DF Capital Bank Limited – to offer specialist hire purchase solutions to retail customers.

Our goal is simple: to do the absolute best for our customers, our communities, and each other.

Your new role:

We are seeking a Data Engineer to join our growing Data & Analytics team within a medium-sized UK bank. Working in a small, agile, you will play a key role in sourcing, integrating, transforming and delivering data from a variety of internal and external systems.

You will be responsible for building and maintaining scalable cloud-based data solutions, ingesting structured data from databases and operational systems, as well as semi-structured data from APIs and third-party services. Using Snowflake, DBT and Windmill, you will develop robust data pipelines that support regulatory reporting, operational processes, business intelligence and analytical workloads.

This role is well suited to an engineer who enjoys taking ownership, working across the full data lifecycle, and contributing to the continued development of a modern cloud data platform within a regulated financial services environment.

Requirements

Data Engineering & Development

  • Design, develop and maintain scalable data pipelines and data integration solutions.
  • Build and optimise SQL-based solutions within Snowflake.
  • Create and maintain robust ELT processes supporting reporting and analytics requirements.
  • Develop and manage data models that support business, operational and regulatory needs.
  • Ensure data quality, consistency and integrity across multiple data sources.
  • Document data flows, transformation logic and technical solutions.

Data Integration & Ingestion

  • Design and maintain ingestion pipelines for both structured and semi-structured data.
  • Source and integrate data from operational databases, applications and third-party platforms.
  • Develop integrations with REST APIs and other external data services.
  • Extract, process and transform semi-structured data formats such as JSON and XML.
  • Monitor ingestion processes and implement controls to ensure data reliability and completeness.
  • Work with business and technical stakeholders to understand source systems and data requirements.

Data Transformation & Modelling

  • Build and maintain transformation layers using SQL and DBT.
  • Design reusable and scalable data models following engineering best practices.
  • Implement testing and validation to ensure high levels of data quality.
  • Optimise transformation performance and maintainability.

Platform Automation & Orchestration

  • Develop and maintain automated workflows using Windmill.
  • Schedule, orchestrate and monitor data processing activities.
  • Identify opportunities to improve operational efficiency through automation.
  • Support troubleshooting and resolution of production issues.

DevOps & CI/CD

  • Use GitHub for source control, collaboration and code reviews.
  • Support and improve CI/CD processes for data platform deployments.
  • Promote engineering best practices including version control, testing and release management.
  • Maintain technical documentation and operational runbooks.

Collaboration & Continuous Improvement

  • Work closely with the Lead Data Engineer and wider stakeholders across the bank.
  • Participate in architecture discussions and solution design.
  • Contribute to the evolution of the data platform and engineering standards.
  • Share knowledge and support continuous improvement initiatives within the team.

Essential Skills & Experience

Technical Skills

  • Strong SQL skills with experience developing complex queries, transformations and data models.
  • Experience working with modern cloud-based data architectures and data platforms.
  • Experience sourcing and integrating data from structured sources such as relational databases.
  • Experience working with semi-structured data including JSON, XML and API-based integrations.
  • Familiarity with Python for automation, scripting, API integration and data processing.
  • Experience designing and maintaining data transformation pipelines.
  • Good understanding of data warehousing concepts and dimensional modelling.
  • Experience working with Git-based source control and collaborative development practices.
  • Understanding of CI/CD principles and automated deployment processes.
  • Knowledge of data quality, testing and monitoring methodologies.

Professional Experience

  • Experience working as a Data Engineer, ETL Developer or similar role.
  • Experience delivering data solutions within a cloud environment.
  • Ability to work independently and manage priorities effectively.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills with both technical and non-technical stakeholders.

Desirable Skills & Experience

  • Experience with DBT for data transformation and modelling.
  • Experience with Windmill for workflow orchestration and automation.
  • Experience building internal data applications using Streamlit.
  • Experience with Snowflake administration and optimisation.
  • Knowledge of financial services, banking or regulated industries.
  • Exposure to regulatory reporting and data governance frameworks.
  • Experience working in Agile delivery teams.

Technology Stack

Core Technologies

  • Snowflake (Data Warehouse)
  • SQL
  • Python
  • GitHub
  • CI/CD Pipelines

Data Engineering & Automation

  • DBT
  • Windmill
  • REST APIs
  • JSON / XML Processing

Nice to Have

  • Streamlit
  • Financial Services / Banking Domain Knowledge

Personal Attributes

  • Self-motivated and proactive.
  • Strong attention to detail.
  • Comfortable working within a small, high-performing team.
  • Able to balance day-to-day delivery with longer-term platform improvements.
  • Strong ownership mindset and willingness to take initiative.

Benefits

  • Competitive salary (dependent on experience)
  • Private medical insurance for you (and your partner)
  • Private Dental
  • 10% Employer pension contribution
  • 30-day annual leave entitlement plus Bank/Public Holidays
  • Free Gym Membership
  • Discretionary annual bonus
  • Discretionary share awards
  • Life Assurance
  • Income Protection
  • Save As You Earn company share acquisition scheme
  • Tax-efficient salary sacrifice scheme to obtain bicycles and electric vehicles
  • 4 days per year volunteering opportunities to support our local communities
  • World class offices based in lively Ancoats
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.