Senior Data Engineer

TN United Kingdom; Glasgow; Remote; GBP 60,000 - 90,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer to lead the development of scalable data pipelines and modern data warehouse solutions. This role involves architecting high-performance data workflows using SQL, Python, and tools like Databricks and Snowflake, while collaborating with various stakeholders to deliver data-driven solutions.

Qualifications

• 8+ years of hands-on experience in data engineering.
• Strong expertise in SQL and data modeling techniques.
• Experience with Databricks or Snowflake in a production environment.

Responsibilities

• Design, build, and maintain robust data pipelines.
• Develop and optimize SQL and DBT code for data transformation.
• Collaborate with data scientists and analysts to ensure data quality.

Skills

SQL

Python

Data Quality

Data Governance

Problem Solving

Education

Bachelor's degree in Computer Science

Tools

Databricks

Snowflake

DBT

Terraform

Azure

AWS

GCP

Job description

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Role: Senior Data Engineer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: Long Term
Work Schedule: 8 hours/day (Mon-Fri)
Work Timezone: US Time
Location: 100% Remote (Candidates can work from anywhere in LATAM Countries)

What You'll Be Doing

We're looking for a highly skilled Senior Data Engineer to lead the development of scalable data pipelines and modern data warehouse solutions. This role will be pivotal in architecting, implementing, and optimizing high-performance data workflows using tools such as SQL, Python, DBT, Databricks, and Snowflake.

You'll partner closely with stakeholders across the organization to understand complex business problems and translate them into robust, data-driven solutions. This is a hands-on role for a data engineering expert who thrives in a collaborative, fast-paced environment.

Key Responsibilities

1. Design, build, and maintain robust data pipelines for ingesting and transforming large datasets from multiple sources.
2. Develop and optimize SQL and DBT code to model, transform, and load data into a centralized data warehouse.
3. Lead the design and implementation of modern data architectures using Databricks or Snowflake.
4. Write efficient, reusable, and scalable Python code to support ETL/ELT workflows.
5. Collaborate with data scientists, analysts, and business stakeholders to deliver clean, reliable, and well-governed data.
6. Advocate for and implement automated testing, monitoring, and deployment pipelines.
7. Champion data quality, governance, and best practices across the team.
8. Solve complex technical challenges across various layers of the data stack.
9. Mentor and support junior team members in their technical growth.

Qualifications

1. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
2. 8+ years of hands-on experience in data engineering, with a proven track record of delivering scalable solutions.
3. Strong expertise in SQL, including performance tuning and complex query development.
4. Proven experience with Databricks or Snowflake in a production environment.
5. Hands-on experience developing data pipelines and ETL/ELT workflows using DBT and Python.
6. Solid understanding of data modeling techniques (e.g., 3NF, dimensional modeling).
7. Experience with cloud platforms such as Azure, AWS, or GCP.
8. Familiarity with infrastructure-as-code tools like Terraform.
9. Passion for data quality, security, privacy, and governance.
10. Strong communication and problem-solving skills, with the ability to work cross-functionally.