Data Engineer
Ripjar Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Ripjar. Remote, United Kingdom · full-time · no salary stated · we estimate £46,262–£66,563 across the United Kingdom.
Ripjar has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build services that collect data from varied sources, handle messy inputs and send structured results to downstream products
- Create batch or near-real-time processing components, measuring performance, scale and operating cost
- Set data schemas, validation and versioning so downstream teams can rely on compatible contracts
- Write maintainable code and tests, then add metrics, logs and tracing to help diagnose production issues
- Strengthen pipelines against failures and contribute to CI/CD, design reviews and incident follow-ups
What you bring
- At least two years building and running production software systems
- Fluency in a programming language, plus experience debugging complex systems and improving reliability or performance
- Solid grounding in data structures, testing, version control and Linux fundamentals
Who this fits
This role suits a software engineer focused on distributed data systems and production pipelines. It is remote-first and open to candidates anywhere in the UK; you can also work from the Cheltenham office.
From the employer
About Ripjar
Ripjar was founded by veterans of GCHQ to bring national security-grade intelligence tools to the fight against financial crime. Financial crime funds human trafficking, terrorism, corruption and sanctions evasion on a global scale, and the organisations on the front line need technology built to match the threat.
Today, Ripjar's AI-native software and data fusion products are used by governments, the world's largest banks, and global enterprises to automate the detection, investigation and monitoring of serious financial crime. Every day, hundreds of customers and thousands of daily active users rely on the platform to screen hundreds of millions of names for risk in real time, prevent money laundering and stop terrorist financing.
If you want your work to matter, this is where it happens.
We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time.
About the Role
We see a Data Engineer as a software engineer who specialises in distributed data systems. You’ll join the Data Engineering team, whose prime responsibility is the development and operation of the Data Collection Hub, a platform that ingests data from many sources, processes/enriches it, and distributes it to multiple downstream systems.
We’re looking for someone with 2+ years of industry experience building and operating production software who enjoys working across data pipelines, distributed systems, and operational reliability.
What you’ll do
- Engineer distributed ingestion services that reliably pull data from diverse sources, handle messy real-world edge cases, and deliver clean, well-structured outputs to multiple downstream products.
- Build high-throughput processing components (batch and/or near-real-time) with a focus on performance, scalability, and predictable cost, using strong profiling and measurement practices.
- Design and evolve data contracts (schemas, validation rules, versioning, backward compatibility) so downstream teams can build with confidence.
- Own production quality: write maintainable code, strong unit/integration tests, and add the observability you need (metrics/logs/tracing) to diagnose issues quickly.
- Improve platform reliability by hardening pipelines against partial failures, retries, rate limits, data drift, and infrastructure issues—then codify those learnings into better tooling and guardrails.
- Contribute to CI/CD and developer experience: faster builds, better test signal, safer releases, and automated operational checks.
- Participate in design reviews, code reviews, incident retrospectives, and iterative delivery—making pragmatic trade-offs and documenting them clearly.
Technology Stack
- Languages: Predominantly Python and Node.js
- Distributed/data platforms: HDFS, HBase, Spark, plus increasing use of Kubernetes and cloud services
- Storage/search: MongoDB, OpenSearch
- Orchestration: Airflow, Dagster, NiFi
- Tooling: GitHub, GitHub Actions, Rundeck, Jira, Confluence
- Deployment/config: Ansible (physical), Terraform / Argo CD / Helm (Kubernetes)
- Development environment: MacBook (typical)
Requirements
Essential:
- 2+ years building and operating production software systems
- Fluency in at least one programming language (Python/Node.js a plus)
- Experience debugging moderately complex systems and improving reliability/performance
- Strong fundamentals: data structures, testing, version control, Linux basics
Nice to have:
- Spark/PySpark experience
- Hadoop ecosystem exposure (HDFS/HBase)
- Workflow orchestration (Airflow/Dagster/NiFi)
- Search/indexing (OpenSearch, MongoDB)
- Kubernetes and infrastructure-as-code
- Degree in Computer Science or numerical degree
Benefits
- Competitive salary DOE
- 25 days annual leave + your birthday off, in addition to bank holidays, rising to 30 days after 5 years of service.
- Remote working
- Private Family Healthcare.
- 35 hour working week.
- Employee Assistance Programme.
- Company contributions to your pension.
- Pension salary sacrifice.
- Enhanced maternity/paternity pay.
- The latest tech including a top of the range MacBook Pro.
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