Data Engineer with AI Experience

Accenture; Greater London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading consulting firm in Greater London is looking for data engineers at various levels to implement ETL pipelines and manage data flows. Candidates should have strong programming skills in Python, Java, or Scala, and extensive experience with cloud platforms like AWS, GCP, or Azure. Benefits include a competitive salary, 25 days of vacation, and private medical insurance.

Benefits

Competitive salary and package

25 days vacation per year

Private medical insurance

3 extra days leave for charitable work

Qualifications

• Strong proficiency in at least one programming language (Python, Java, or Scala).
• Extensive experience with cloud platforms (AWS, GCP, or Azure).
• Experience with data warehousing and lake architectures.
• Experience with ETL/ELT pipeline development.
• Experience with SQL and NoSQL databases.
• Experience with distributed computing frameworks (Spark, Kinesis, etc).
• Strong understanding of data modelling and system architecture.

Responsibilities

• Implement ETL pipelines and orchestrate data flows.
• Define, document and iterate data mappings.
• Re-engineer data pipelines to be scalable and robust.
• Navigate and query large scale datasets.
• Build processes supporting data transformation and workload management.
• Identify and resolve data issues.

Skills

Python

Java

Scala

AWS

GCP

Azure

ETL/ELT pipelines

SQL

NoSQL databases

Spark

Kinesis

CI/CD

TDD

Version control

Job description

Responsibilities

• Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice
• Define, document and iterate data mappings based on concepts and principles of data modelling
• Re-engineer data pipelines to be scalable, robust, automatable, and repeatable
• Navigate, explore and query large scale datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Identify and resolve data issues including data quality, data mapping, database and application issues
• Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
• Deliver high quality implementation and documentation for critical functionality
• Deliver code, unit tests, feature tests, stubs and integration tests
• Operate in an agile environment as part of a scrum team and participate in sprint rituals
• Work with team members to understand designs, functional requirements and triage issues

Qualifications

We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below.

• Strong proficiency in at least one programming language (Python, Java, or Scala)
• Extensive experience with cloud platforms (AWS, GCP, or Azure)
• Experience with data warehousing and lake architectures
• Experience with ETL/ELT pipeline development
• Experience with SQL and NoSQL databases
• Experience with distributed computing frameworks (Spark, Kinesis, etc)
• Experience with software development best practices including CI/CD, TDD and version control
• Strong understanding of data modelling and system architecture
• Excellent problem‑solving and analytical skills
• Experience working with clients/external partners is beneficial but not required

Benefits

• Competitive salary and package (depending on level of experience)
• 25 days vacation per year
• Private medical insurance
• 3 extra days leave per year for charitable work of your choice

Equal Opportunity Statement

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or civil partnership status, sexual orientation or gender identity. Accenture reserves the right to close the role prior to this date should a suitable applicant be found.