Data Engineering Consultant

Endava Limited; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Data Engineering Consultant where technology meets creativity. In this role, you will design and optimize data pipelines, ensuring robust performance and data governance. Collaborate with talented analysts and scientists to transform raw data into actionable insights, driving innovation across various industries. With a focus on continuous improvement, you'll mentor junior engineers and implement best practices in a supportive environment. This position offers the chance to work on complex projects while enjoying a hybrid work model and numerous personal development opportunities.

Benefits

Competitive salary package

Share plan

Company performance bonuses

Career coaching

Flexible working hours

Global internal wellbeing programme

Access to wellbeing apps

Training and certifications

Work-life balance initiatives

Inclusion and diversity programmes

Qualifications

• Experience in designing and optimizing data pipelines and architectures.
• Strong knowledge of data governance and compliance regulations.

Responsibilities

• Architect and maintain scalable data pipelines for large datasets.
• Collaborate with analysts and scientists to ensure data quality.

Skills

Python

SQL

Scala

Java

Apache Spark

Hadoop

Databricks

Snowflake

Tools

Apache Spark

Databricks

Snowflake

Airflow

Job description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise, and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

Role Overview

A Data Engineering Consultant designs, implements, and optimizes scalable data pipelines and architectures. This role bridges raw data and actionable insights, ensuring robustness, performance, and data governance. Collaboration with analysts and scientists is central to delivering high-quality solutions aligned with business objectives.

Key Responsibilities

• Architect, implement, and maintain real-time and batch data pipelines to handle large datasets efficiently.
• Employ frameworks such as Apache Spark, Databricks, Snowflake, or Airflow to automate ingestion, transformation, and delivery.

Data Integration & Transformation

• Work with Data Analysts to understand source-to-target mappings and quality requirements.
• Build ETL/ELT workflows, validation checks, and cleaning steps for data reliability.

Automation & Process Optimization

• Automate data reconciliation, metadata management, and error-handling procedures.
• Continuously refine pipeline performance, scalability, and cost-efficiency.
• Coordinate with Data Scientists, Data Architects, and Analysts to ensure alignment with business goals.
• Mentor junior engineers and enforce best practices (version control, CI/CD for data pipelines).
• Participate in technical presales activities and client engagement initiatives.

Governance & Compliance

• Apply robust security measures (RBAC, encryption) and ensure regulatory compliance (GDPR).
• Document data lineage and recommend improvements for data ownership and stewardship.

Qualifications

• Programming: Python, SQL, Scala, Java.
• Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc.
• Data Modelling: Designing dimensional, relational, and hierarchical data models.
• Scalability & Performance: Building fault-tolerant, highly available data architectures.
• Security & Compliance: Enforcing role-based access control (RBAC), encryption, and auditing.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.