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Data Engineering Consultant

Endava

London

Hybrid

GBP 50,000 - 90,000

Full time

9 days ago

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Job summary

An innovative firm is seeking a Data Engineering Consultant to design and optimize scalable data pipelines. This role involves bridging raw data with actionable insights while ensuring data governance and performance. You'll collaborate with analysts and scientists to deliver high-quality solutions that align with business objectives. Join a forward-thinking company that values technology and people, offering a competitive salary and opportunities for career development in a dynamic, inclusive environment.

Benefits

Competitive salary package

Company performance bonuses

Career coaching

Flexible working hours

Global internal wellbeing programme

Access to wellbeing apps

Training and certifications

Hobby clubs and interest groups

Inclusion and diversity programmes

Qualifications

Experience in designing and implementing scalable data pipelines.
Strong understanding of data governance and compliance.

Responsibilities

Develop and maintain real-time and batch data pipelines.
Collaborate with data scientists and analysts to meet business goals.

Skills

Python

SQL

Scala

Java

Apache Spark

Hadoop

Databricks

Snowflake

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

PostgreSQL

SQL Server

MongoDB

Cassandra

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Company Description

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

Company 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

Data Pipeline Development

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.

Collaboration & Leadership

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.
Cloud:
AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow).
Data Modelling & Storage:
Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling.
DevOps & Automation:
Docker, Kubernetes, Terraform, CI/CD pipelines for data flows.
Architectural Competencies
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.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting

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