Data Engineering Associate

Metyis; London; On-site; GBP 50,000 - 75,000; Full time

Job summary

Join a fast-growing international team at Metyis as a Data Engineer. In this role, you will tackle business challenges by engineering efficient data processes and platforms. Collaborate with data scientists and strategists to enhance client data strategies through skills in Azure, SQL, and ETL practices. This position welcomes diverse talent dedicated to continuous improvement and team collaboration.

Qualifications

• 3-4 years of experience in data engineering.
• Understanding of data warehousing principles.
• Hands-on experience with Azure and Airflow.

Responsibilities

• Engineer technical solutions for business challenges.
• Design and build operational data platforms.
• Guide and mentor team members.

Skills

SQL

Data Transformation

Data Profiling

Airflow

Kubernetes

Git

CI/CD

Docker

Continuous Improvement

Problem Solving

Education

Bachelor's Degree in Computer Science

Master's Degree (a plus)

Tools

Azure Data Factory

Databricks

Azure Synapse

PowerBI

Job description

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Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.

Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.

Become part of a fast-growing international and diverse team.

What you will do

Engineer complete technical solutions to solve concrete business challenges in a range of domains.

Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations.

Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.

Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.

Share data engineering knowledge by giving technical training.

Guide and mentor team members.

What you will bring

3-4 years of experience in data engineering.

Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).

Advanced SQL, data transformation and data profiling skills.

Experience of building production ETL/ELT pipelines at scale.

1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming.

Experience with Airflow and Kubernetes.

Knowledge of Git, CI/CD operations and Docker.

Basic knowledge of PowerBI is a plus.

Experience deploying cloud infrastructure is desirable

Understanding of Infrastructure as Code would be beneficial

Passionate about continuous improvement and working collaboratively.

Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience.

Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus).

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.