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Senior Data Engineer

Vallum
London, UK
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.careerboard.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing PostgreSQL Meta-Data Management MongoDB Oracle (Applications) Informatica Powercenter
+5 more
Er-Win Data Analytics Apache Kafka Data Pipelines Databricks

Job description

  • Design and implement enterprise data solutions on AWS and Databricks.
  • Develop data models, data warehouses, and lakehouse architectures.
  • Build scalable ETL/ELT pipelines and data integration solutions.
  • Define enterprise data standards and governance frameworks.
  • Collaborate with business and technical teams to deliver data-driven solutions.
  • Support analytics, reporting, and AI/ML initiatives.

Requirements

  • Strong experience in the insurance industry.
  • Expertise with AWS, Databricks, Oracle, PostgreSQL, and MongoDB.
  • Experience with data modelling, data warehousing, and enterprise architecture.
  • Hands-on ETL/ELT, Informatica, APIs, Kafka, and data pipelines.
  • Knowledge of Sparx EA, Erwin, metadata management, and data governance.
  • Strong stakeholder management and Agile delivery experience.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerboard.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:01 min

Migrating existing applications from MongoDB to Postgres

Nikita Shamgunov Nikita Shamgunov · WWC 2024

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:21 min

Realizing the limitations of MongoDB for live statistics

Josip Stuhli Josip Stuhli · WWC 2023

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
WWC Europe 2026 • about 1 month ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs thumbnail
47:16
WWC 2021 • about 5 years ago

40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs

Maxime Beugnet

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • about 1 month ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Modern Data Architectures need Software Engineering thumbnail
29:25
WWC 2024 • almost 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

NoSQL Data Modeling for Front-end Developers thumbnail
44:51
JS Congress • over 4 years ago

NoSQL Data Modeling for Front-end Developers

Stanimira Vlaeva

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