Data Engineer - Hybrid/Bristol - Up to £55k

Adecco; Bristol; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading recruitment firm is seeking a skilled Data Engineer to enhance AI/ML-powered data workflows in Bristol. This hybrid role requires strong expertise in Python, experience with data pipelines, and a Bachelor's degree in a related field. Join a dynamic team and contribute to innovative solutions in data management and machine learning.

Qualifications

• Minimum three years of relevant experience.
• Proficiency in Python with hands-on experience in PySpark or Pandas.
• Experience in deploying and managing machine learning models in production environments.

Responsibilities

• Develop and optimise data enrichment pipelines.
• Design processes for data ingestion and cleaning.
• Collaborate with data scientists to troubleshoot issues.

Skills

Python

Data pipelines

Machine learning

PySpark

Data enrichment

Data cleaning

API development

Education

Bachelor's degree in computer science, mathematics, or a related field

Tools

Databricks

Git

CI/CD pipelines

Job description

Social network you want to login/join with:

Data Engineer - Hybrid/Bristol - Up to £55k, Bristol

col-narrow-left

Client:

Location:

Bristol, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

5e1215c48b22

Job Views:

28

Posted:

12.08.2025

Expiry Date:

26.09.2025

col-wide

Job Description:

Data Engineer - Hybrid/Bristol - Up to £55,

Job Title : Data Engineer

Responsibilities :

- Pipeline Development and Optimisation : Continuously assess and improve the performance of data enrichment pipelines, ensuring their efficiency, dependability, and scalability.

- Data Management : Design and implement robust processes for data ingestion and cleaning, supporting machine learning and analytical models.

- Collaborative Problem-Solving : Work closely with data scientists to troubleshoot, identify, and resolve complex issues, ensuring smooth operations across the board.

- Model Development and Deployment : Assist in building, training, monitoring, and deploying cutting-edge machine learning models.

- Stay Current with AI/ML Trends : Keep up to date with the latest advancements in data processing, AI, and ML, and incorporate them into our client's processes to improve efficiency.

- Adaptable Approach : Collaborate across different functions as required, including taking on backend development tasks like API creation with support from more senior engineers.

Our client, a leading player in the risk industry, is seeking a skilled and motivated Data Engineer to join their innovative team in Bristol. With a minimum requirement of two days per week in the office, this position offers the opportunity to contribute to the development and optimisation of AI/ML-powered data enrichment workflows and infrastructure . We are seeking someone with a strong Python expertise , a creative mindset, and a passion for working with modern AI/ML systems .

To succeed in this role, you should have a Bachelor's degree (or equivalent) in computer science, mathematics, or a related field , along with at least three years of relevant experience . You should have a proven ability to design, build, and deploy machine learning models and/or data pipelines , and be proficient in Python with hands-on experience in PySpark or Pandas .

In addition to technical expertise, we value strong analytical skills , the ability to address data quality issues and optimise model performance , and the willingness to think creatively and independently to solve complex problems. Experience in deploying and managing machine learning models in production environments , knowledge of advanced techniques such as gradient boosting and large-scale text embedding models , and familiarity with tools such as Databricks, Git, CI/CD pipelines, and software testing methodologies are also preferred qualifications.

If you are ready to join a dynamic and innovative team, apply now and take the next step in your career as a Data Engineer!

Please note that only successful applicants will be contacted.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

KEYWORDS:

Python / Data pipelines / Data enrichment / PySpark / Pandas / Machine learning / AI/ML / Model deployment / Data cleaning / Data ingestion / Databricks / Git / CI/CD pipelines / API development / Gradient boosting / Text embedding models / Production ML / Software engineering / Data processing / Analytical models / Data science / Model monitoring / Testing / Deployment techniques / Python / Data pipelines / Data enrichment / PySpark / Pandas / Machine learning / AI/ML / Model deployment / Data cleaning / Data ingestion / Databricks / Git / CI/CD pipelines / API development / Gradient boosting / Text embedding models / Production ML / Software engineering / Data processing / Analytical models / Data science / Model monitoring / Testing / Deployment techniques / Python / Data pipelines / Data enrichment / PySpark / Pandas / Machine learning / AI/ML / Model deployment / Data cleaning / Data ingestion / Databricks / Git / CI/CD pipelines / API development / Gradient boosting / Text embedding models / Production ML / Software engineering / Data processing / Analytical models / Data science / Model monitoring / Testing / Deployment techniques /

To speak to a recruitment expert please contact