Data Engineer - Mid Level

Join to apply for the Data Engineer - Mid Level role at Alcumus

Building innovative solutions; enabling safer workplaces for everyone. We’ll create a safer working world, building software to support a global network of responsible buyers, suppliers and partners. At Alcumus we take the pain out of compliance for over 50,000 organisations globally, helping them protect their people, their operations, and the planet. The tech we build today will create a better tomorrow.

• Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational systems.
• Develop and optimise data models and storage solutions for performance, reliability, and scalability.
• Ensure data quality, integrity, and security across all stages of the data lifecycle.
• Collaborate with data scientists, analysts, and software engineers to deliver data solutions that meet business needs.
• Implement and maintain data infrastructure on cloud platforms such as AWS, Azure, or GCP.
• Monitor and troubleshoot data workflows to ensure high availability and minimal downtime.
• Automate data ingestion, transformation, and validation processes to improve efficiency.
• Stay current with emerging data technologies and recommend improvements to existing systems.

• Strong proficiency in SQL and experience with relational databases.
• Hands‑on experience with data pipeline development and ETL processes.
• Proficiency in Python.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data modelling, warehousing, and performance optimisation.
• Familiarity with big‑data frameworks (e.g. Apache Spark, Hadoop).
• Understanding of data governance, security, and compliance best practices.
• Strong problem‑solving skills and ability to work in an agile environment.

• Experience with containerisation and orchestration tools (e.g. Docker, Kubernetes).
• Knowledge of streaming data technologies (e.g. Kafka, Kinesis).
• Familiarity with infrastructure‑as‑code tools (e.g. Terraform, Ansible).
• Exposure to machine‑learning workflows and data‑science tools.
• Experience with CI/CD pipelines for data workflows.
• Knowledge of No
  
  SQL databases (e.g. Mongo
  
  DB, Cassandra).
• Understanding of data cataloguing and lineage tools.
• Strong communication skills for cross‑functional collaboration.

• Enhanced Parental Leave
• Generous annual leave
• Healthcare Plan
• Annual Giving Day – an extra day to give back to yourself or your community
• Cycle‑to‑work Scheme

• Pension scheme with employer contributions
• Life Assurance – 3X base salary
• Rewards Program – access to discounts and cashback
• Linked In Learning Licence for upskilling & development

Interested but don’t feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the role and business needs. We believe in people having transferable and soft skills and want you to know that we do consider where an individual might not meet all the criteria, but have the aptitude and capability, nonetheless. Our priority is to ensure we set people up for success.

Bring Your Whole Self to Work.

Alcumus is proudly an equal‑opportunity employer. We are committed to ensuring that no candidate is discriminated against because of gender identity and expression, race, disability, ethnicity, sexual orientation, age, colour, region, creed, national origin, or sex. We are dedicated to growing a diverse team while continuing to create an inclusive environment where everyone feels safe and empowered to be themselves.

• A response to your application within 15 working days
• An interview process consisting of:
  • An initial discovery call with the recruiter
  • A first‑stage interview via Microsoft Teams
  • Additional interview (likely face to face) with the stakeholders you’ll be working with closely in the role

Referrals increase your chances of interviewing at Alcumus by 2x

• Entry level

• Full-time

• Information Technology

• IT Services and IT Consulting

Apply BELOW