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Senior data engineer

Stevenage
Dabster
Data engineer
£60,000 - £100,000 a year
Posted: 1 October
Offer description

About Us:

At Dabster, we specialize in connecting top talent with leading global companies. We are currently seeking a Senior Data Engineer to join one of our key clients on a permanent position with strong potential for extension. Our mission is to be the foremost recruitment specialist in securing exceptional talent for a diverse range of global clients

JOB Description:

In this role, you will be successful if you have:

Experience:

* 5+ years of experience in data science.
* Strong understanding of data science techniques, including statistical modelling and data analytics.
* Experience with data science libraries (e.g., NumPy, pandas, scikit-learn).
* Proven experience with ML, GenAI, and LLMs in production environments.

Skills & Competencies:

Must Have:

* Proficiency in Python, R, or other relevant programming languages.
* Proficiency in working with large datasets, data wrangling, and data pre-processing.
* Hands-on with ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
* Ability to work independently and lead projects from inception to deployment.
* Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
* Familiarity with LLMs, prompt engineering, pre-training, and fine-tuning techniques.
* Experience with AWS Bedrock, SageMaker, and GenAI pipelines.

Preferred Skills:

* MSc or PhD in Data Science, Computer Science, or related field.
* Experience with LangChain, RAG, Vector DBs (e.g., FAISS, Pinecone), and Hugging Face Transformers.

ADDITIONAL NOTES:

* Ability to work independently or as part of a team.
* Strong communication and stakeholder management skills.
* Passion for innovation and continuous learning in AI.

What We Offer:

* Contract Type:
Contract
* Remote Flexibility:
Hybrid role
* Collaborative Environment:
Work closely with industry-leading teams and contribute to cutting-edge projects.

How to apply:

Please submit your CV with relevant experience via LinkedIn Easy Apply or directly to

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