Ripjar
via Workable
Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 203d ago
The date the source published, not the day we noticed it (2026-02-24). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £75k–123.8k/yr
Middle 50% of 62 listings that do state pay — Engineering · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 29d ago · last seen 1h ago
The listing
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.