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Data Engineer

5 months, 1 week ago
United Kingdom
Full-time
Junior
Data Engineer
Software Development
Ansible Apache Airflow Apache Spark Argo CD Confluence Dagster Git GitHub GitHub Actions HDFS Helm JIRA Kubernetes Linux MongoDB Node.js OpenSearch Python Terraform
Apply Now
Ripjar

Ripjar

Ripjar provides advanced data analytics solutions for global companies and governments to detect criminal behavior, measure campaign success, and ensure AML compliance in real time.

IT Services
51-250
Founded 2012
$42M raised
View All Jobs 5

Description

  • Engineer distributed ingestion services that pull data from diverse sources and produce clean, structured outputs for downstream systems.
  • Build high-throughput batch and near-real-time processing components with a focus on performance, scalability, and predictable cost.
  • Design and evolve data contracts, including schemas, validation rules, versioning, and backward compatibility.
  • Own production quality through maintainable code, unit and integration tests, and observability using metrics, logs, and tracing.
  • Harden pipelines against partial failures, retries, rate limits, data drift, and infrastructure issues.
  • Improve CI/CD and developer experience through faster builds, better test signals, safer releases, and automated operational checks.
  • Participate in design reviews, code reviews, incident retrospectives, and iterative delivery.
  • Document pragmatic trade-offs and implementation decisions clearly.
  • Work across distributed systems and operational reliability in collaboration with downstream product teams.

Requirements

  • 2+ years of experience building and operating production software systems.
  • Fluency in at least one programming language; Python or Node.js is a plus.
  • Experience debugging moderately complex systems and improving reliability and performance.
  • Strong fundamentals in data structures, testing, version control, and Linux basics.
  • Experience with Spark or PySpark is preferred.
  • Exposure to the Hadoop ecosystem, including HDFS and HBase, is preferred.
  • Experience with workflow orchestration tools such as Airflow, Dagster, or NiFi is preferred.
  • Experience with search/indexing systems such as OpenSearch or MongoDB is preferred.
  • Experience with Kubernetes and infrastructure-as-code is preferred.
  • A degree in Computer Science or a numerical degree is preferred.

Benefits

  • Competitive salary, dependent on experience.
  • 25 days annual leave plus 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 pension contributions and pension salary sacrifice.
  • Enhanced maternity and paternity pay.
  • Latest tech, including a top-of-the-range MacBook Pro.

Interested in this position?

Apply directly on the company website

Apply Now

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