About the job

The Role

As our Senior Data Engineer, you'll build Murmuration's data platform: the pipelines, models, and warehouse that turn raw platform and payments data into reporting that credit unions, regulators, and our own product can rely on. Reporting to the Chief Technology Officer, you'll be our first data hire, with a lot of say in how the data platform is built

About Murmuration

Murmuration is a new technology company building the core platform that credit unions run on. We provide the software, payments, and data infrastructure that lets a credit union offer its members modern digital banking without having to build or run the technology itself.

Credit unions are member-owned and rooted in their communities, but many still operate on systems that are decades old, which limits what they can offer their members. We're building the alternative.

We're a new company, putting our platform and our first engineering team in place now, with the backing of an established group. For people who join early, that means a real say in the product, the architecture, and how the company works.

What you'll be doing

• Design, build, and maintain reliable data pipelines (batch and streaming) from our platform, payments, and third-party sources
• Build and own our data warehouse / lakehouse and the models behind reporting and analytics
• Look after data quality, lineage, and governance, which matter a lot in a regulated financial setting
• Build the data behind the regulatory and financial reporting that credit unions and regulators need
• Work with engineers and the wider business to make clean, well-modelled data easy to get at
• Put in place data security, access controls, and privacy practices in line with GDPR and FCA
• Set things up so analytics and AI/ML can be built on top later
• Help choose the data architecture and tooling as one of the first engineers in the team

What you'll bring to Murmuration

• Solid experience as a Data Engineer building production data pipelines and warehouses
• Strong SQL and proficiency in a programming language for data work (e.g. Python)
• Experience with a modern data stack (e.g. dbt, Airflow, Spark) and a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift)
• A good understanding of data modelling, ETL/ELT, and data-quality practices
• Awareness of data governance, security, and privacy, ideally in a regulated setting
• Comfortable taking ownership at an early stage

Standout candidates will also have...

• Experience working with financial, payments, or regulatory data
• Experience with streaming data (e.g. Kafka) and real-time pipelines
• Experience building data for regulatory reporting
• Experience enabling analytics or machine learning on a data platform

Benefits

• Salary of £50,000 – £75,000 depending on experience
• 30 days holiday per year plus Bank Holidays
• Hybrid working from our Manchester office
• Company pension scheme
• An early, hands-on role building a new platform and team
• Structured career path with support for ongoing learning and development
• 
  

e’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter, and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

Join the team responsible for building the data and machine learning products that power customer experiences, marketing effectiveness and commercial decision-making across ASOS.

As a Senior Data Engineer in our Customer & Marketing Machine Learning team, you will play a key role in developing the data foundations that enable machine learning models, pricing optimisation, customer analytics, media measurement and marketing decisioning at scale. The team brings together Data Engineers, Machine Learning Engineers and Applied Scientists to deliver end-to-end machine learning products that create measurable business impact.

This is an opportunity to work with large-scale customer, marketing and commercial datasets, building robust data solutions that help transform how ASOS understands, engages and serves millions of customers.

What you'll be doing

• Designing and building scalable data pipelines that support machine learning, analytics and data science initiatives.
• Developing high-performance data solutions using Python, Spark, Databricks and Azure technologies.
• Creating and maintaining datasets that power customer, marketing, pricing and forecasting use cases.
• Collaborating closely with Applied Scientists and Machine Learning Engineers to operationalise machine learning models.
• Designing data models and architectures that enable reliable, trusted and accessible data across the business.
• Improving data quality, observability, lineage and monitoring capabilities across critical data products.
• Supporting the delivery of media measurement, customer value, pricing and personalisation initiatives.
• Optimising data processing workloads for performance, scalability and cost efficiency.
• Driving best practices across software engineering, data engineering and platform development.
• Providing technical leadership through design reviews, mentoring and knowledge sharing.
• Working with stakeholders across Customer, Marketing and Commercial functions to turn business challenges into scalable data solutions.
• Contributing to the long-term evolution of ASOS's machine learning and data capabilities.
• 
  

Qualifications

We're interested in people who can demonstrate many of the following capabilities. If your experience doesn't match every requirement exactly, we still encourage you to apply.

You are likely to have:

• Significant experience delivering data engineering solutions within cloud-based environments.
• Strong expertise in Python and experience developing production-grade data pipelines and data products.
• Experience working with Databricks, Spark and distributed processing technologies.
• Experience designing and operating large-scale data platforms using Azure, AWS or GCP.
• Deep understanding of data modelling, data architecture and modern data engineering principles.
• Experience enabling data science, analytics or machine learning workloads through robust data infrastructure.
• Strong understanding of CI/CD, Infrastructure as Code, automated testing and observability practices.
• Experience working with large-scale customer, marketing, commercial or behavioural datasets.
• Proven ability to lead the design and delivery of complex technical solutions from concept through to production.
• Experience mentoring engineers and helping shape technical direction within a team.
• Strong stakeholder management and communication skills, with the ability to partner effectively with technical and non-technical audiences.
• A passion for solving challenging data problems and enabling teams to make better decisions through data.Experience supporting machine learning platforms, MLOps or model operationalisation.
• Experience with pricing, marketing analytics, recommendation systems or customer analytics.
• Experience working in eCommerce, retail or consumer-facing digital businesses.

Additional Information

BeneFITS’

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

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