Snr. Analytics Engineer

TN United Kingdom; London; On-site; GBP 55,000 - 60,000; Full time

Job summary

An innovative company is seeking a Senior Analytics Engineer to lead technical projects and manage complex client relationships. This role focuses on designing scalable data pipelines, mentoring junior team members, and driving innovation in analytics engineering. With a commitment to harnessing AI and data analytics for economic prosperity, you'll be at the forefront of transforming organizations through data-driven decision-making. Join a forward-thinking team that values collaboration and excellence, while enjoying a comprehensive benefits package that supports your professional growth and well-being.

Benefits

Training & Conference Budget (£6,000)

Pension Contributions (up to 6%)

Private Healthcare

Retail Discounts

EMI Share Options

Flexible Working Abroad

25 Days Annual Leave

Cycle to Work Scheme

Social Events

Office Amenities

Qualifications

• Extensive experience in analytics or model/data engineering roles.
• Proven leadership in technical workstreams and mentoring engineers.

Responsibilities

• Lead the design and implementation of robust data pipelines.
• Build strong relationships with stakeholders to deliver tailored solutions.

Skills

Python

SQL

Data Engineering

Analytics

Communication

Tools

dbt

Airflow

Snowflake

AWS

Job description

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Title: Snr. Analytics Engineer

Reporting to: Engineering Manager / Lead Analytics Engineer

Compensation: £55,000-£60,000

Type: Full time, Permanent

About QuantSpark

At QuantSpark, we believe that every individual deserves access to a better life, enabled by economic prosperity that lifts society up. We empower British businesses and government to harness AI and data analytics to create value for people, not just profits. We work with ambitious organisations sharing our vision to build a future where everyone can thrive.

QuantSpark transforms organisations through Analytics and AI, enhancing operational efficiency and profitability. We help companies gain a competitive edge through data, strategic insight, and AI in a disrupted market landscape.

The Role

This is an exciting opportunity for an experienced Senior Analytics Engineer to lead technical projects, manage complex client relationships, and deliver innovative data solutions. You will operate at the intersection of Data Analytics, Software Development, and Data Engineering, shaping our approach to data-driven decision-making.

As a Senior Analytics Engineer, you will own designing scalable data pipelines, lead technical execution, mentor junior team members, collaborate with clients to understand their needs, and drive innovation in analytics engineering practices.

What You’ll Own

• Technical Leadership: Lead the design and implementation of robust data pipelines using tools like dbt and Airflow.
• Client Collaboration: Build strong relationships with stakeholders to identify challenges and deliver tailored solutions.
• Data Excellence: Transform raw data into actionable datasets for predictive analytics and SaaS products.
• Innovation: Explore new data methods, ensuring high-quality outputs through automation and testing frameworks.
• Mentorship: Coach junior team members and promote best practices in engineering and analytics.

What You Bring

• Extensive experience in analytics or model/data engineering roles.
• Advanced Python skills (Numpy/Pandas) and SQL expertise.
• Proven leadership in technical workstreams and mentoring engineers.
• Strong communication skills for client interaction and translating insights into business value.
• Experience with cloud platforms (e.g., Snowflake, AWS) and ETL/ELT tools like Airflow and dbt.
• Additional benefits include a £6,000 training & conference budget, pension contributions (up to 6%), private healthcare, retail discounts, EMI Share Options, flexible working abroad, 25 days annual leave plus options to buy/sell days, cycle to work scheme, social events, and office amenities.

QuantSpark is committed to equal opportunities and fair treatment for all potential employees, regardless of sex, gender, sexual orientation, marital status, race, religion, age, or disability.