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Senior Data Engineer

Peaple Talent

United Kingdom

Hybrid

GBP 50,000 - 75,000

Full time

3 days ago

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Job summary

Peaple Talent seeks a Senior Data Engineer for a full-time, permanent role in Bristol. You will lead a team to design, develop, and optimize data pipelines while mentoring engineers and ensuring high-quality data solutions. Ideal candidates will have extensive experience with SQL, Python, and AWS.

Qualifications

Deep expertise in SQL, Python, and Spark for data pipeline development.
Experience mentoring peers and driving team growth.
In-depth knowledge of data modelling and pipeline architecture.

Responsibilities

Design and maintain scalable data solutions.
Mentor team members and promote best practices.
Resolve data-related challenges and ensure data integrity.

Skills

SQL

Python

PySpark

Data Modelling

Git

CI/CD

Apache Airflow

AWS

Tools

Talend

SnapLogic

Amazon Redshift

Databricks

Direct message the job poster from Peaple Talent

Peaple Talent are pleased to be working with a returning client in Bristol looking to recruit for a Senior Data Engineer.

This is a full-time permanent role, and would require hybrid working in Bristol.

This Senior Data Engineer role will involve working closely with the team lead, helping to guide a team of engineers in building, optimizing and maintaining robust data pipelines and a cutting-edge analytics platform.

Key Responsibilities:

Design, develop, and maintain scalable data solutions that meet both technical guidelines and strategic business goals.
Take an active role in Agile practices, including sprint planning, peer reviews, and change control meetings.
Partner with the team lead to coach and support team members, offering hands-on mentorship throughout the engineering lifecycle.
Research and test emerging tools and technologies to drive future-focused innovation.
Promote a culture centred around automation and continuous process enhancement.
Assist in shaping and upholding high development standards, collaborating on best practices and code quality with the team lead.
Resolve advanced data-related challenges and fine-tune existing infrastructure for greater speed and dependability.
Translate complex engineering concepts into clear, accessible language for non-technical colleagues.
Establish and manage systems for data quality assurance, integrity checks, and monitoring in line with governance frameworks.
Work closely with various departments to gather requirements and ensure data solutions reflect real business needs.

Key Experience Required:

Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets.
Experience mentoring peers and supporting team growth by sharing knowledge and improving collective engineering practices.
In-depth knowledge of data modelling best practices and common patterns used in pipeline architecture.
Confident in version control with Git and familiar with setting up CI/CD workflows using platforms like Azure DevOps or similar tools.
Hands-on experience with orchestration tools like Apache Airflow for managing complex data workflows.
Practical familiarity with low-code or no-code platforms such as Talend and SnapLogic for streamlined pipeline development.
Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager.
Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks.

If you are interested in this position please apply directly on Linkedin with an updated copy of your CV.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Technology, Information and Media

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