Data Engineer

Hackajob Ltd
Birmingham, UK
1 day ago
Apply on www.totaljobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Unit Testing Microsoft Azure Big Data Cloud Computing Databases Continuous Integration Extract Transform Load (ETL) Data Mapping Data Transformation
+27 more
Data Structures Data Warehousing Distributed Computing Environment Python (Programming Language) Machine Learning Metadata NoSQL Scrum Methodology Tensorflow Software Engineering SQL Databases Data Streaming Systems Architecture Software Organization Test-Driven Development (TDD) Apache Spark Cloudformation Containerization Integration Tests Kubernetes Infrastructure Automation Frameworks Build Process Operational Systems Terraform Software Version Control Data Pipelines Docker

Job description

Locations: London, Manchester, Birmingham or Bristol (must be willing to travel to client sites throughout the UK on an ad hoc basis), Deploy machine learning models to production and implement measures to monitor their performance

  • 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 issue

  • Stay engaged with the latest technological developments, especially in the fields of generative AI

Requirements

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 Python

  • Extensive experience with cloud platforms (AWS, GCP, or Azure)

Experience with:

o Data warehousing and lake architectures

o ETL/ELT pipeline development

o SQL and NoSQL databases

o Distributed computing frameworks (Spark, Kinesis etc)

o Software development best practices including CI/CD, TDD and version control.

o Containerisation tools like Docker or Kubernetes

o Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation)

  • Strong understanding of data modelling and system architecture

  • Demonstrable experience on at least one AI/ML project

  • Knowledge of common machine learning frameworks and models

  • A good understanding of approaches to monitoring ML models in production

  • Experience leading a team and decision making skills, are essential

As a technology consultancy, we look for people who can deliver both exceptional technical solutions and work as true partners to the organisations we support. To do this you must be able to:

  • Communicate effectively verbally and in writing, demonstrated through:

o Effectively explain complex technical solutions to a non-technical audience

o Writing meaningfully to deliver clear information, and guidance

o Giving impactful presentations, articulating clearly key points

  • Demonstrate critical thinking by:

o Analysing and evaluating information

o Using information gathered to present solutions and reach decisions

o Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems

  • Work in partnership with others to:

o Effectively manage both internal and external stakeholders to ensure synergy

o Collaborate meaningfully with all parties to ensure outcomes are reached effectively

Whilst having experience in a consultancy is beneficial, demonstrable experience in working with clients/external partners in other settings will always be considered.

Benefits & conditions

Salary: Competitive salary and package (Depending on level of experience), At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.

About the company

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” - Julie Sweet, Accenture CEO, Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.totaljobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all