Junior python developer Work, Jobs (with Salaries)

Senior Data Engineer
Edge Effects —London
- £79,000 - £83,000 a year
- Full-time
- Hybrid work
- Mentoring
- In-person
- Free parking
- Annual leave
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2h

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Senior Data Engineer

Edge Effects
London

Quick apply

Job details

Full-time
£79,000 - £83,000 a year
2 hours ago

Benefits

Free parking
Private dental insurance
Cycle to work scheme
Annual leave
Company pension
Company events
Private medical insurance
Life insurance
On-site parking

Qualifications

Data modelling
Cloud infrastructure
Cassandra
Mentoring junior staff
NoSQL
MongoDB
Software development operations experience
General Data Protection Regulation (GDPR)
ETL data integration
CI/CD pipelines
Terraform
Continuous integration
Redis
Mentoring
Data warehousing
Data pipeline
Apache
Kafka
Redshift
DevOps implementation
Data warehouse
Infrastructure provisioning automation
Terraform provisioning

Full job description

Edge Effects is looking for an experienced, highly analytical Senior Data Engineer to join our core data platform team in London. In this pivotal role, you will lead the architecture, construction, and optimization of our enterprise data infrastructure, enabling real-time analytics, machine learning pipelines, and data-driven product features.

Working alongside Data Scientists, Analytics Engineers, Software Developers, and Cloud Operations teams, you will design scalable cloud data warehouses, automate robust ETL/ELT pipelines, and enforce strict data governance standards. This position blends hands-on pipeline engineering with technical leadership, offering opportunities to shape our long-term data strategy and mentor junior data engineers.

Key Responsibilities

Data Platform Architecture: Design, build, and maintain high-throughput, cloud-native data platforms (Snowflake, Databricks, BigQuery, or AWS Redshift) to power advanced analytics and reporting.
Pipeline Engineering (ETL/ELT): Architect, automate, and monitor resilient batch and streaming data pipelines using Python, SQL, Apache Airflow, and dbt (data build tool).
Data Modeling & Storage: Develop scalable dimensional data models, data lake storage architectures, and schema designs optimized for performance and query cost-efficiency.
Data Quality & Governance: Enforce data validation frameworks, lineage tracking, role-based access control (RBAC), and strict compliance with UK GDPR and data protection standards.
CI/CD & DevOps Integration: Integrate data pipeline deployments into automated CI/CD workflows using Docker, Kubernetes, and Terraform (Infrastructure as Code).
Mentorship & Operational Excellence: Lead technical root-cause analysis for data pipeline failures, establish data engineering best practices, and mentor mid-level data engineers.

Skills & QualificationsEssential

5+ years of commercial experience as a Data Engineer or Data Platform Engineer building production-grade data infrastructure.
Expert-level proficiency in SQL and Python for data processing, manipulation, and pipeline orchestration.
Hands-on experience with cloud data platforms (Snowflake, Databricks, AWS Redshift, or Google BigQuery).
Proven background with orchestration tools such as Apache Airflow, Prefect, or Dagster, alongside modern transformation tooling (dbt).
Strong understanding of data architecture patterns: Data Warehousing, Data Lakes, Data Mesh, and Lambda/Kappa architectures.
Experience with continuous integration/deployment (CI/CD) and Infrastructure as Code (IaC using Terraform).
Solid understanding of UK GDPR regulations and data governance protocols.

Desirable

Relevant Professional Certifications: Snowflake Certified SnowPro Core, Databricks Certified Data Engineer Professional, AWS Certified Data Engineers, or GCP Professional Data Engineer.
Experience with real-time streaming technologies (Apache Kafka, AWS Kinesis, or Spark Streaming).
Knowledge of NoSQL databases and vector stores (MongoDB, Redis, Pinecone, or Cassandra).
Background in supporting ML/AI models (MLOps integration).

Benefits

Annual performance-based bonus
Hybrid working model (3 days central London office / 2 days remote)
25 days annual leave plus UK bank holidays
Enhanced pension scheme (up to 8% company match)
Private medical and dental insurance
Life assurance (4x base salary)
£1,500 annual personal learning and professional development budget
Fully paid professional certifications and exam fees
Cycle to Work scheme & Electric Vehicle (EV) salary sacrifice scheme
Enhanced maternity, paternity, and adoption leave
Regular team socials, tech meetups, and company events

How to Apply

If you are a driven Senior Data Engineer ready to build next-generation data infrastructure at Edge Effects, submit your updated CV today to start the application process.

Pay: £79,000.00-£83,000.00 per year

Benefits:

Company pension
Free parking
Life insurance
On-site parking

Work Location: In person

Quick apply

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