The Senior Data Engineer will design and maintain data infrastructure, support data accessibility, deploy machine learning models, and ensure data quality in collaboration with data scientists and analysts.
Senior Data Engineer
The Role:
The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.
The main responsibilities of the position include:
- Design, develop, and maintain scalable data pipelines for data transformation and preparation.
- Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
- Ensure data quality and consistency across various sources.
- Deploy machine learning models and AI tools to production environments.
- Collaborate with data scientists to improve data models and support business intelligence tools.
- Build and maintain data warehousing solutions.
- Enforce data governance and security policies.
- Work with cross-functional teams to understand data requirements and provide technical solutions.
- Mentor junior data engineers and provide technical guidance.
Main requirements:
- MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
- 4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
- Experience with AWS, Google Cloud, or Azure cloud services
- Extensive experience with relational and non-relational databases.
- Proven experience with machine learning.
- Demonstrated experience in big data processing and analytics.
- Strong analytical thinking and problem-solving abilities.
- Effective communication skills to convey data-driven insights.
- Fluency in English Language
Benefit from:
- Attractive remuneration package
- Private health insurance
- Corporate pension fund
- Intellectually stimulating work environment
- Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
- Let’s Connect – Intro Chat with Talent Acquisition
- Deep Dive – First Interview with Your Future Team
- Bring It to Life – Role-Specific Take-Home Task
- Final Connection – Final Interview
All applications will be treated with strict confidentiality!
Similar Jobs
Other
The Senior Data Engineer designs and maintains data pipelines and AI workflows, optimizing ETL processes for BI and LLM applications.
Top Skills:
SparkAWSAzure Machine LearningHadoopKafkaPlsqlPythonRedshiftSnowflakeSQL
Fintech • Software • Financial Services • Cryptocurrency
As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.
Top Skills:
Ci/CdClickhouseDockerKafkaKinesisMskPythonRedpandaSQLTerraformTimescaledb
Analytics
As a Senior Data Engineer, you will enhance data pipelines, design robust architectures, enrich products, and collaborate with engineers and data scientists.
Top Skills:
AWSDatadogDockerFastapiGitGrafanaKubernetesPostgresPythonRestful ApisTerraform
What you need to know about the Bristol Tech Scene
Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.



