Databricks Jobs in Ipswich

Databricks
Suffolk > Ipswich

The table below provides summary statistics for permanent job vacancies advertised in Ipswich requiring knowledge or experience of Databricks products and/or services. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Databricks over the 6 months leading up to 29 June 2025, comparing them to the same period in the previous two years.

The figures below represent the IT labour market in general and are not representative of salaries within Databricks.

6 months to
29 Jun 2025
Same period 2024 Same period 2023
Rank 28 - -
Rank change year-on-year - - -
Permanent jobs citing Databricks 1 0 0
As % of all permanent jobs advertised in Ipswich 0.93% - -
As % of the Vendors category 1.37% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Suffolk median annual salary - - -

All Vendors
Ipswich

Databricks falls under the Vendor Products and Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring knowledge or experience of all vendor products and services in Ipswich.

Permanent vacancies with a requirement for knowledge or experience of vendor products and services 73 95 33
As % of all permanent jobs advertised in Ipswich 68.22% 39.92% 24.09%
Number of salaries quoted 65 78 27
10th Percentile £25,625 £25,500 £21,250
25th Percentile £31,000 £29,750 £30,500
Median annual salary (50th Percentile) £47,500 £50,000 £60,800
Median % change year-on-year -5.00% -17.76% +15.81%
75th Percentile £55,250 £63,750 £76,250
90th Percentile £59,500 £78,750 £89,000
Suffolk median annual salary £66,200 £42,500 £38,750
% change year-on-year +55.76% +9.68% -8.82%

Databricks
Job Vacancy Trend in Ipswich

Job postings citing Databricks as a proportion of all IT jobs advertised in Ipswich.

Job vacancy trend for Databricks in Ipswich

Databricks
Co-occurring Skills and Capabilities in Ipswich by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Application Platforms
1 1 (100.00%) Apache Spark
Cloud Services
1 1 (100.00%) Amazon EKS
1 1 (100.00%) Amazon ELB
1 1 (100.00%) Amazon S3
1 1 (100.00%) AWS
Database & Business Intelligence
1 1 (100.00%) Delta Lake
1 1 (100.00%) DynamoDB
1 1 (100.00%) Metadata
1 1 (100.00%) Spark SQL
Development Applications
1 1 (100.00%) MLflow
General
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Machine Learning Engineer
1 1 (100.00%) Operations Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Keras
1 1 (100.00%) Lambda Expressions
1 1 (100.00%) Metaflow
1 1 (100.00%) NumPy
1 1 (100.00%) Pandas
1 1 (100.00%) PySpark
1 1 (100.00%) PyTorch
1 1 (100.00%) scikit-learn
1 1 (100.00%) TensorFlow
1 1 (100.00%) YAML
Miscellaneous
1 1 (100.00%) Linux Command Line
Operating Systems
1 1 (100.00%) Unix
Processes & Methodologies
1 1 (100.00%) Artificial Intelligence
1 1 (100.00%) CI/CD
1 1 (100.00%) Containerisation
1 1 (100.00%) Data Science
1 1 (100.00%) Deployment Automation
1 1 (100.00%) Information Security
1 1 (100.00%) Machine Learning
1 1 (100.00%) Metadata Management
1 1 (100.00%) MLOps
1 1 (100.00%) OO
1 1 (100.00%) OOP
1 1 (100.00%) OWASP
1 1 (100.00%) Time Management
1 1 (100.00%) Unit Testing
1 1 (100.00%) Visualisation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
System Software
1 1 (100.00%) Docker
Systems Management
1 1 (100.00%) Kubeflow
1 1 (100.00%) Kubernetes
1 1 (100.00%) Terraform