Data Engineer

Dge Br-dge
Edinburgh, United Kingdom
2 days ago

Role details

Contract type
Temporary to permanent
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 130K

Job location

Remote
Edinburgh, United Kingdom

Tech stack

Java
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Cloud Engineering
Continuous Integration
Data Architecture
Data Deduplication
Information Engineering
Data Infrastructure
Python
PostgreSQL
SQL Databases
Data Processing
Spark
Cloudformation
Kafka
Operational Systems
Data Management
Terraform
Data Pipelines
Programming Languages

Job description

Job title: Senior Data Engineer. Employment type: Permanent, full time. Location: Remote with the option to use the Edinburgh office. About BR DGE BR-DGE is an award-winning FinTech founded in Edinburgh. Our platform enables enterprise e-commerce and technology businesses to design, optimise, and scale complex payment infrastructures with confidence. We operate in a regulated, technically demanding environment where reliability and execution quality matter. Our products increasingly rely on high-quality data to support both internal decision making and merchant-facing insight experiences. When relevant, we position clearly as compliance-minded and white-hat. Why this role exists 1. Data is becoming a critical part of BR-DGE's next growth phase, powering internal analytics and customer-facing insights and monitoring. 2. The data engineering space is largely greenfield. We need a production-grade data platform that can ingest, transform, validate, and monitor data from core systems and operational tooling. 3. The robustness, scalability, and governance of our data architecture impacts our ability to grow safely and meet regulatory expectations. 4. This role owns the insights data platform, while partnering closely with Analytics, Product, and Engineering to ensure the platform delivers trusted datasets and timely signals. What you will do 1. Design and ship a tiered data platform that supports multiple latency needs, including low-latency pipelines for operational monitoring and customer-facing insights, plus batch pipelines for reporting and deeper analysis. 2. Build and own end-to-end ingestion patterns across batch, micro-batch, and selected near-real-time use cases, with strong orchestration and dependency management. 3. Implement schema evolution, data contracts, and approaches for late-arriving and corrected data so consumers can trust the outputs. 4. Treat curated datasets as products that are well defined, documented, reliable, and safe to use for both internal, GCP - Senior Data Engineer Location: Fully remote - UK Contract length: Initial 6 months Working frequency: Part-time Rate: £450-£500 per day IR35: Outside IR35 Tech: GCP / Datastream / SQL / Python SR2 is supporting a client delivering a large-scale enterprise data..., A leading data consultancy in Edinburgh is seeking an experienced MLOps Engineer to design, build, and operate ML infrastructures. This role involves managing the lifecycle of ML models and collaborating with dynamic project teams to deliver scalable solutions. The ideal..., A leading mutual life and pensions company in the UK is seeking a Lead Data & AI Architect to join their Group Data & AI Office in Edinburgh. This role involves enhancing data usage effectiveness while overseeing Data & AI solutions aligned with company strategy. Candidates..., Job Description Senior RF Engineer Edinburgh 12-month contract Paying up to £80p/h (Inside IR35) The Opportunity Our client is looking for Senior RF Engineer's to join a leading defence technology organisation developing cutting-edge radar systems for modern fighter..., Brightwork's specialist client are currently recruiting a Senior Control Systems Engineer who will deliver remote support to site commissioning engineers by troubleshooting and resolving control systems and process control issues, ensuring successful project completion and...

Requirements

and external consumers. 5. Set platform standards for idempotent ingestion, deduplication, data quality, lineage, and observability. 6. Ensure the platform meets regulated fintech & payments expectations for access control, security, and governance while staying cost efficient as volumes grow. 7. Partner with Product and Engineering on event and domain modelling. Decide what data gets emitted and what latency and granularity is needed for analytics and product goals. 8. Support Data Science with reliable feature-ready datasets and pragmatic collaboration, without owning reporting or business analysis. 9. Evolve the current lightweight tooling into a more observable, structured platform. Improve standards without creating unnecessary platform complexity. 10. Automate data infrastructure and workflows using infrastructure as code and CI/CD practices. What we are looking for Must have 1. Proven experience designing, building, and operating production-grade data pipelines and platforms. 2. Strong SQL, specifically PostgreSQL, plus at least one programming language such as Python or Java. 3. Experience with data processing or orchestration tooling such as Spark, Airflow, or Kafka. 4. Experience designing data models for analytics and reporting workloads. 5. Practical knowledge of data quality, testing, observability, lineage, and governance patterns. 6. Strong experience with AWS-based data platforms, with hands-on use of services like S3, Glue, Athena, Redshift, Kinesis, EMR, or MSK. 7. Infrastructure as code experience using Terraform or CloudFormation, and comfort operating systems in production. 8. Ability to collaborate across Engineering, Product, Analytics, and Data Science, and drive standards through influence. Nice to have 1. Experience building customer-facing data products where latency and correctness affect user outcomes. 2. Experience in regulated fintech or payments environments, especially around access control and auditability. 3. Experience with cost and performance optimisation at scale in AWS data stacks. Tech context * Role will work across ingestion, orchestration, modelling, governance, and observability in an AWS-centric environment, with PostgreSQL and modern data tooling. * Current tooling is intentionally lightweight, and the platform is evolving as BR-DGE grows. In some cases you do not need to be hands-on day to day, but you must be fluent enough to make strong technical decisions and review work. * What We Offer: o Flexible, remote-first working o 33 days holiday, including public holidays o Birthday off o Family healthcare o Life insurance o Employee assistance programme o Investment in learning and development o Regular team events and off-sites o A collaborative culture where documentation is treated as a first-class product #J-18808-Ljbffr Similar jobs

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