Job Search and Career Advice Platform

Enable job alerts via email!

Senior Implementations Data Engineer

Altana AI

Greater London

On-site

GBP 50,000 - 70,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading technology company in Greater London is looking for a data engineer to develop and manage big-data pipelines. You will work closely with customers and cross-functional teams to ensure effective and secure data solutions. The ideal candidate has over 5 years of experience in data engineering, strong communication skills, and a commitment to data governance. Benefits include collaborative culture and commitment to engineering excellence.

Benefits

Collaborative team environment
Commitment to professional development
Diverse workplace

Qualifications

  • 5 years+ technical experience in data engineering or closely related roles.
  • Experience with all stages of data ingestion and standardization pipelines.
  • Strong understanding of data security and governance.

Responsibilities

  • Develop and improve distributed, big-data pipelines.
  • Serve as technical expert in client-facing meetings.
  • Work in cross-functional teams to deliver solutions.

Skills

Data modeling
Data pipeline development
Communication skills
Data security awareness

Tools

Python
Spark
SQL
AWS
Azure
Git
Docker
Kubernetes
Job description

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing.

The Opportunity at Altana

The Implementation team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations.

Specifically, the team is focussed on:

  • Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities
  • Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base
  • Serve as the technical expert in client‑facing meetings, bridging the gap between complex government requirements and our platform's technical architecture.
  • Work in a cross‑functional team of engineers, data scientists, and product managers
  • Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment
About You

You are a data engineer with a strong technical background who excels at building trust and communicating complex technical concepts to stakeholders. You are someone who proactively takes ownership of the end‑to‑end design and operation of data solutions and refines the systems to deliver measurable results.

  • You will have worked across design, development, and maintenance of data models from a variety of sources and schemas
  • Experience across the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines.
  • A demonstrated drive for sustainable software development, self‑healing data workflows, and a deep appreciation for data security and data governance.
  • Excellent written and verbal communication skills, with a track record of successfully interacting directly with external customers and stakeholders to scope technical work and manage expectations.
  • You are eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already
  • 5 years+ technical experience in data engineering or closely related roles
  • Keep up to date with latest trends in data engineering and care deeply about engineering excellence and knowledge sharing
Nice to have, but not required
  • Expertise or experience with the deployment of ML pipelines.
  • Exposure to trade compliance, supply chain management or a field similarly related to international commerce.
  • Experience working with or within public sector.
  • Experience with the responsibilities involved in managing a data platform, including monitoring and managing releases, costs, and infrastructure changes.
  • Familiarity using AI tools to enhance the quality & pace of your output.
Technologies we love
  • Languages: Python, Spark, SQL
  • Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker
  • Datastores: Databricks, OpenSearch, Postgres
Why it’s great to work at Altana
  • We love to collaborate, and we win as a team!
  • We are committed to engineering excellence
  • We value personal and professional development
  • We learn from diverse backgrounds and perspectives
  • We impact the world, from enabling developing countries to identifying drug traffickers

At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.

Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.