Data Platform Engineer

RealityMine
Stretford, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 49K

Job location

Remote
Stretford, United Kingdom

Tech stack

Adobe InDesign
Agile Methodologies
Airflow
Amazon Web Services (AWS)
Apache HTTP Server
Automation of Tests
Big Data
Cloud Engineering
Continuous Integration
Data Infrastructure
DevOps
Python
Software Engineering
Spark
Backend
Cloudformation
Machine Learning Operations
Terraform
Data Pipelines
Serverless Computing

Job description

Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!

Your primary responsibilities will involve performing DevOps, backend and cloud development on the data infrastructure to develop innovative solutions to effectively scale and maintain the data platform. You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Amazon Web Services (AWS) technologies such as Lambda, SageMaker and Bedrock to develop innovative and scalable data solutions.

After a suitable settling in period, you will also join our out of hours on call team, for which you will receive additional compensation., · Proactively identify opportunities to improve the data platform, including the performance, architecture and design, and take ownership of the implementation.

· Continually review, measure and monitor the performance of the data platform and evaluate improvements in design, architecture and tooling.

· Design, architect and build internal data platform tooling to enable best practice development and delivery of our data products.

· Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape defined requirements before implementation.

· Take ownership of production systems, independently investigating issues, identifying root causes and driving them through to resolution.

· Maintaining clear documentation for datasets, logic, processes and known issues.

· Collaborate with internal engineering, product and operations teams to align on scope and deliverables.

· Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

Requirements

Here's what we're looking for:

· 3+ years of professional Python development experience as a Data Platform Engineer, using AWS.

· Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform.

· Takes a collaborative approach to problem solving and breaking down complex problems, whilst working on large and complex datasets.

· The ability to be flexible and agile, ready to adapt to changes when things don't go to plan.

· Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications.

· Good interpersonal skills, positive can-do attitude and willing to help other members of the team.

· Understanding of Apache Spark, Apache Trino or other big data and machine learning systems.

· Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation.

Benefits & conditions

· Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.

· Peace of Mind: Life assurance and a workplace pension with employer contributions.

· Reward for Performance: Bonus scheme that recognizes your hard work and contributions.

· Cycle to Work Scheme: For the cyclists among us, we've got you covered.

· Gear You'll Love: Choose the tech that works for you, we'll try and source it!

· Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing.

· Giving Back: Join us in supporting local charities and making a positive impact.

Hybrid Working

We know work-life balance matters, so we've embraced a flexible hybrid working model:

· Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues.

· Free parking and secure bike shed. Excellent public transport links.

· Split your time between the office and home, with full equipment provided for home working (desk, screen, chair).

· Receive £100 annually to personalise your home workspace.

· Flexible start and finish times to suit your personal circumstances.

If you're a Data Platform Engineer professional excited to work on impactful projects and shape the future of our data pipeline, we'd love to hear from you.

About the company

At RealityMine, we believe our people are at the heart of everything we do. That's why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here.

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