Data engineer Work, Jobs in Parbold, Lan (with Salaries)

Data Engineer
Ripjar —Manchester
- Full-time
- Remote
- Computer Science
- Linux
- Python
- Annual leave
- Employee assistance programme
Quick apply
CMS Developer / Partner for Windows
Forbes Solicitors —Preston
- Full-time
- Microsoft Office
- SQL
- Scripting
- Annual leave
- Employee discount
Senior Data Engineer
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
- Gym membership
- Referral programme
Quick apply
Senior Data Engineer
UBDS Group —Manchester
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
Senior Security Data Engineer
Obsidian Security —Manchester
- £91,000 - £106,000 a year
- Hybrid work
- SQL
- Scripting
- APIs
Quick apply
8d
Data & Integrations Developer
BAE Systems —Samlesbury
- From £51,772 a year
- Hybrid work
- Oracle
- SQL
- Scripting
3d
Senior Data Engineer
The Protein Works™ —Liverpool
- Full-time
- Master's degree
- SQL
- APIs
Quick apply
Data Centre Engineer - Manchester
ONNEC Group —Manchester
- £30,000 - £42,000 a year
- Full-time
- Microsoft Office
- Administrative experience
- Computer networking
Quick apply
5d
Lead Data & AI Platform Engineer
OrderYOYO —Manchester
- Remote
- Azure
- SQL
- Mentoring
Quick apply
Data Platform Engineer
Bupa —Salford
- Full-time
- Hybrid work
- Azure
- Scripting
- Python
- Employee discount
- Gym membership
Quick apply
Data Platform Engineer - AWS
AO World —Bolton
- Azure
- DevOps
- SQL
- Free parking
- Employee discount
3d
Senior Data Engineer
Betfred —Manchester
- £55,000 - £80,000 a year
- Full-time
- SQL
- AWS
- Agile
- Annual leave
- Employee assistance programme
Quick apply
BI Developer
Vaultex UK Ltd —Warrington
- Full-time
- Hybrid work
- Azure
- SQL
- Continuous improvement
- Employee assistance programme
- Employee discount
5d
Data Engineer
Obsidian Security —Manchester
- Hybrid work
- Master's degree
- SQL
- AWS
Quick apply
3d
Data Engineer
Arrow Global Group —Manchester
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Data Engineer (GCP)
bet365 —Manchester
- Full-time
- SQL
Quick apply
Director, AI / Machine Learning Data Engineer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Senior Data Engineer
MBDA —Bolton
- £55,000 a year
- Overtime
- Hybrid work
- Azure
- Oracle
- SQL
- Free parking
1d
Junior Software Developer
Skuuudle —Manchester
- Up to £30,000 a year
- Full-time
- Remote
- Computer Science
- English
- SQL
Quick apply
5d
Data Engineering Manager
On the Beach —Manchester
- Full-time
- Hybrid work
- Management
- In-person
- AI
- Annual leave
- Work from home
5d

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Data Engineer

Ripjar -
Manchester

Quick apply

Job details

Full-time

Benefits

Annual leave
Company pension
Employee assistance programme

Qualifications

Jira
Node.js
HDFS
Computer Science
Kubernetes
Ansible
Spark
MongoDB
HBase
Confluence
Distributed systems
Terraform
GitHub
Linux
Python
Debugging
Hadoop

Full job description

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.

Quick apply

Refine Your Search

data engineer jobs in parbold, lan

Data Engineer

CMS Developer / Partner for Windows

Senior Data Engineer

Senior Data Engineer

Senior Security Data Engineer

Data & Integrations Developer

Senior Data Engineer

Data Centre Engineer - Manchester

Lead Data & AI Platform Engineer

Data Platform Engineer

Data Platform Engineer - AWS

Senior Data Engineer

BI Developer

Data Engineer

Data Engineer

Data Engineer (GCP)

Director, AI / Machine Learning Data Engineer

Senior Data Engineer

Junior Software Developer

Data Engineering Manager

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