Ripjar Logo

Ripjar

Data Engineer

Reposted 22 Days Ago
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Junior
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Junior
Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.
The summary above was generated by AI

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.

Ripjar London, England Office

20 Saint Thomas Street, Runway East, London, United Kingdom, SE1 9RS

Similar Jobs

Yesterday
Remote or Hybrid
United Kingdom
Senior level
Senior level
Enterprise Web • HR Tech • Information Technology • Software • Cybersecurity
Develop and maintain customer-facing analytical reporting, data pipelines, and data models. Build Python applications, ensure data quality and consistency, collaborate with analytics engineers, and enable business teams to access actionable data. The role also involves cloud data warehouse optimization, infrastructure as code, software engineering best practices, and cross-functional product collaboration within an agile SaaS environment.
Top Skills: AWSAzureBigQueryCloudFormationContinuous IntegrationDbtFlaskGCPGitLookerPlotlyPower BIPythonRedshiftSnowflakeSQLSqlalchemyTerraform
5 Hours Ago
Remote
GBR
Junior
Junior
Information Technology • Analytics • Business Intelligence • Big Data Analytics
Build and maintain reliable data pipelines using Python and SQL. Integrate REST APIs, databases, files, cloud storage, and third-party platforms; process and load data into warehouses for analytics and BI. Implement incremental and fault-tolerant loading, logging, monitoring, retries, error handling, and data quality checks. Work with ETL/ELT, Git, and potentially dbt, Spark, orchestration tools, cloud platforms, Docker, dimensional modeling, and BI datasets.
Top Skills: AirflowAWSAws S3AzureAzure Blob StorageBigQueryCi/CdDagsterDbtDockerDomoGCPGitGoogle Cloud StorageLookerMs SqlPostgresPower BIPrefectPysparkPythonQuicksightRedshiftRest ApisSnowflakeSparkSQLTableau
4 Days Ago
Remote
UK
Mid level
Mid level
Cloud • Information Technology • Professional Services • Software • Consulting
Own and expand third-party billing and usage integrations for a cloud cost platform. Build and maintain ingestion pipelines, normalize vendor data, manage orchestration and backfills, and ensure financial-grade correctness through reconciliation, deduplication, and data quality checks. Use AI throughout the engineering workflow, collaborate with product and support teams, and improve integration scalability. The role requires strong SQL and Python, cloud data warehouse experience, REST API integration expertise, and production pipeline ownership.
Top Skills: AirflowAWSBigQueryClickhouseDagsterDbtFocus SpecificationGoGCPAzurePrefectPythonRedshiftRest ApisSnowflakeSQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account