Senior Data Engineer

Annapurna; United Kingdom; Remote; GBP 60,000 - 85,000; Full time

Job summary

A leading company in the insurance sector is seeking a Senior Talent Lead to design and implement data solutions. The ideal candidate will have a strong background in data engineering, with skills in SQL, Python, and cloud technologies. This remote role offers the chance to work with advanced data intelligence tools and collaborate with various stakeholders to optimize data processes. Join a team that values innovation and growth in the tech and data fields.

Qualifications

• 5+ years of experience in building data pipelines and maintaining Data Warehouses.
• Strong skills in SQL, Python, problem-solving, and data analysis.

Responsibilities

• Design and implement data pipelines and models, ensuring data quality.
• Collaborate with product managers and engineers to understand data needs.

Skills

SQL

Python

Problem-Solving

Data Analysis

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Snowflake

AWS

dbt

Job description

Direct message the job poster from Annapurna

Senior Talent Lead | Empowering Growth in Tech, Data, Cybersecurity, SaaS, Product & Finance

Location: Remote (United Kingdom)

About The Company:

We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. Focused on small and medium-sized businesses that drive the global economy, they leverage granular policy information to provide unprecedented insights into insurance pools. Their niche insurance portfolio is fully diversified, minimizing catastrophe, aggregation, or systemic risks.

The Role:

• Design and implement data pipelines and models, ensuring data quality and integrity.
• Solve complex data integration problems using optimal patterns, frameworks, query techniques, sourcing from diverse data sources.
• Build, maintain, and optimize the Data Warehouse to support reporting and analytics.
• Collaborate with product managers, stakeholders, and engineers to understand data needs and present key insights meaningfully.
• Stay updated on industry trends and best practices in data modelling, database development, and analytics.
• Optimize pipelines, frameworks, and systems to facilitate easier development of data artifacts.

You will be successful if you have:

• A Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in building data pipelines, models, and maintaining Data Warehouses for reporting and analytics.
• Strong skills in SQL, Python, problem-solving, and data analysis.
• Deep experience with Snowflake and AWS.
• Deep experience with dbt.
• Excellent communication and collaboration skills.
• An eagerness to learn, collaborate, and work independently.

If you're interested in this opportunity, apply below or contact [e-mail] directly.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Insurance

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