About Amro Data Labs 

Amro Data Labs is a specialist intelligence, AI and automation consultancy for the real estate investment and asset management sector. Our flagship client, Amro Partners, is a high-growth European real estate investment firm focused on the Living Sector.

Our team works at the intersection of data science, AI/ML, engineering, and automation to deliver institutional-grade decision infrastructure.

About the Role 

We’re looking for a fast-learner, early to mid-career Data Engineer to join our growing London team and help power our real estate market intelligence platform. Working alongside our Data team in our London office, you’ll design and maintain the ETL pipelines, scrapers, and transformation workflows that capture millions of data points across the UK and Europe daily.

This is a hands-on engineering role: you’ll be building pipelines, shipping production code, and shaping how we work with data, not just maintaining what’s already there.

We operate a hybrid working model, with team members typically in our London office around 3 days a week. Exact arrangements may vary by team and manager. We’re open to considering visa sponsorship for the right candidate.

Key Responsibilities 

• Design, build, and maintain efficient and reliable data pipelines using Python and GCP, supporting daily ingestion of rental and availability data across multiple geographies.

• Develop and maintain Python-based web scrapers (Playwright, BS4).

• Write and optimise SQL transformation workflows (Dataform, BigQuery) to turn raw scraper output into clean, analytics-ready datasets.

• Build and maintain LLM-driven workflows within our ETL pipelines, including sensible checks for output quality, hallucination, and graceful failure.

• Implement data quality and validation frameworks across our extraction and transformation layers to ensure integrity at scale.

• Collaborate closely with the wider Data team and cross-functional stakeholders to support data-driven decision-making across the business.

• Stay current with developments and best practices in data engineering and bring them into how we work.

 

Required Skills and Qualifications 

• Master’s degree in Computer Science, Engineering, Data Science, or a related field.

• 3+ years of professional experience as a Data Engineer or in a closely related role.

• Strong Python skills, including object-oriented programming and building production ETL/ELT pipelines. 3+ years of professional, hands-on experience is ideal.

• Strong SQL skills, able to write and optimise advanced queries for transformation and analytics. 3+ years of professional, hands-on experience is ideal.

• Hands-on experience with cloud data platforms. GCP (BigQuery, Cloud Storage, Cloud Run, Firestore, Dataform) is preferred, but equivalent experience on AWS or Azure is welcome. We care more about depth than the specific provider.

• Experience working with web scraping libraries (Playwright, Scrapy, or similar).

• Working knowledge of LLM APIs (OpenAI, Gemini, or similar) and how to integrate them into data pipelines.

• Familiarity with Git, Linux, Docker, and CI/CD workflows (GitHub Actions or similar).

• Experience with NoSQL datastores (Firestore or similar).

• Strong problem-solving instincts and good written and verbal communication.

• Experience with data testing frameworks (Pytest, Great Expectations, Dataplex).

Preferred Additional Skills 

• Hands-on experience with AI-assisted IDEs and LLM-powered coding tools is desired.

• Experience with Terraform or other IaC tools.

• Experience with data visualisation tools (Tableau, Power BI, Looker).

• Familiarity with machine learning or data science concepts.

• Certified GCP Data Engineer.

• Experience working in a fast-paced, agile environment.

Technical Stack 

You’ll be working within (and contributing to) a stack that includes:

• Languages & libraries: Python, SQL, YAML

• GCP: BigQuery, Cloud Storage, Cloud Run Jobs/Functions, Cloud Build, Cloud Scheduler, Firestore, Dataform, Artifact Registry, Secret Manager, Dataflow, Compute Engine

• DevOps & tooling: GitHub, GitHub Actions, Docker, Terraform, Linux, Pytest, Pydantic, Jira

Amro is an Equal Opportunity Employer 

Digital Research Infrastructure Engineer – Linux Specialist

PML operations grade 4 £30000 – £45000 DOE

Full Time

Open Ended Appointment

To apply please send CV and cover letter to careers@pml.ac.uk

 

The Role

We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and  our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.

 

About You

You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.

 

Skills Required

• Linux systems administration and monitoring
• Linux scripting (e.g., bash and Python)
• Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
• Cybersecurity (Understand and apply best practices)
• Container technologies (Docker and Kubernetes)
• High performance Computing (Slurm)
• Virtualisation (VMWare)

 

Key Deliverables

• Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
• Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
• Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
• Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
• Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.

 

About PML

As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.

 

To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster.

The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.

To apply please send CV and cover letter to careers@pml.ac.uk

 

£30000 – £45000 DOE