At a Glance
- Tasks: Build and scale data systems while integrating cutting-edge technology for impactful projects.
- Company: Join Altana, a leader in AI-powered trade solutions with a mission to enhance global commerce.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team that values creativity, resilience, and accountability.
- Why this job: Make a real difference in global trade by developing innovative data solutions.
- Qualifications: 8+ years in data engineering with strong technical and leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
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 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 Focused 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.
- Understand and drive 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 seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands‑on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. 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.
- 8+ years of technical experience in data engineering or closely related roles.
- Extensive experience across the design, development, and maintenance of complex data models from a variety of sources and schemas.
- Demonstrated track record of leading the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines at scale.
- Drive for sustainable software development, self‑healing data workflows, and a deep appreciation for data security and data governance.
- Experience leading and mentoring other engineers on complex data engineering projects.
- Eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already.
- 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.
- 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 the 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 and pace of your output.
Technologies we love:
- Languages: Python, Spark, SQL
- Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker
- Datastores: Databricks, OpenSearch, Postgres
This role is based in our London office, with hybrid work flexibility and candidates must be within commuting distance from our hub location.
Our Values:
- Trust: Our customers and partners entrust us with missions of the highest importance. We honor that by keeping our word, meeting commitments, and ensuring every action we take reinforces confidence in us.
- Resilience: In a world of uncertainty and complexity, our work must withstand challenges, evolve with conditions, and ensure reliability over time.
- Stewardship: We are stewards of every mission we touch. Because our work impacts lives and futures, we hold ourselves accountable to delivering mission impact and never compromising.
- Courage: Courage is what unlocks the seemingly impossible for our customers. It’s the core value that drives us to make bold moves and take on big, complicated network problems—the ones others avoid.
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.
Staff Implementations Data Engineer employer: 53 Stations
At Altana, we pride ourselves on being an exceptional employer that fosters a culture of trust, resilience, and innovation. Our London office offers a hybrid work environment, allowing for flexibility while working on impactful projects that shape the future of global trade. With a strong emphasis on employee growth, mentorship, and collaboration across diverse teams, we empower our staff to take ownership of their work and drive meaningful change in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Implementations Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Staff Implementations Data Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Implementations Data Engineer role. Highlight your experience with data pipelines and any relevant technologies like Python or AWS. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Include specific examples of projects where you've designed, developed, or maintained data systems. This is your chance to shine and show us what you can bring to the table.
Communicate Clearly:Since this role involves client-facing meetings, it's crucial to demonstrate your communication skills in your application. Use clear and concise language to explain your past experiences and how they relate to the job. We love a good storyteller!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're genuinely interested in joining our team at Altana!
How to prepare for a job interview at 53 Stations
✨Know Your Data Inside Out
As a Staff Implementations Data Engineer, you’ll need to demonstrate your deep expertise in data systems. Brush up on your knowledge of complex data models and be ready to discuss specific projects where you've designed, developed, and maintained data pipelines. Highlight your experience with tools like Python, Spark, and SQL, as well as any relevant technologies mentioned in the job description.
✨Showcase Your Problem-Solving Skills
Altana values resilience and the ability to adapt to challenges. Prepare examples of how you've tackled complex data engineering problems in the past. Be ready to explain your thought process and the steps you took to overcome obstacles, especially in client-facing situations where you had to bridge technical gaps.
✨Communicate Clearly and Confidently
Excellent communication skills are crucial for this role. Practice articulating your technical knowledge in a way that’s accessible to non-technical stakeholders. During the interview, focus on how you can manage expectations and scope technical work effectively, ensuring you convey confidence in your abilities.
✨Emphasise Your Leadership Experience
Since the role involves mentoring other engineers, be prepared to discuss your leadership style and experiences. Share specific instances where you’ve led teams or projects, highlighting how you’ve influenced others and driven successful outcomes. This will show Altana that you’re not just a technical expert but also a capable leader.