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For Companies At a Glance
- Tasks: Shape strategic direction by analysing blockchain data and generating insights using AI/ML.
- Company: Join a leading tech company focused on innovative blockchain research and development.
- Benefits: Enjoy remote work, competitive PTO, and a new starter package for essential hardware.
- Why this job: Make a real impact in the blockchain industry while working with cutting-edge technologies.
- Qualifications: 7+ years in data engineering, expertise in AWS, Python, and data modelling required.
- Other info: Diverse and inclusive workplace with excellent learning and development opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Overview
IOG is a technology company focused on blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include decentralized finance (DeFi), governance, and identity management, aiming to advance the capabilities and adoption of blockchain technology globally. We invest in curiosity and positive change to fuel creativity, innovation, and progress within our teams.
What the role involves
As a Senior Data Engineer in the Technical Intelligence (TechInt) team, you will play a crucial role in shaping the company\\\’s strategic direction. The TechInt team analyzes the blockchain industry, providing data-driven insights into competitor activities, emerging trends and projects, and areas of technical innovation. You will contribute to an automated process that leverages a data warehouse alongside machine learning (ML) and artificial intelligence (AI) on AWS to generate these insights. The role works closely with senior leadership and involves direct exposure to strategic decision-making, with a focus on analyzing company strategy and new venture planning from a quantitative perspective.
- Own and drive the end-to-end data process for intelligence (business and technical), across all the ventures of the company. This involves acquiring, processing (ETL), modeling with AI/ML, and reporting.
- Serve as the competitive positioning expert in the blockchain landscape, responsible for providing data insights that fulfill stakeholder requirements
- Architect and build performant and scalable data engineering pipelines using AWS. Drive the data system design, modeling, data quality, and delivery.
- Work with senior leadership and stakeholders to understand data value, define key metrics for competitive positioning, and gather requirements. Work closely with data engineers and analysts to deliver the agreed-upon requirements
- Work with data scientists, ML, and AI engineers to operationalize models and integrate LLM-related logic into data pipelines
- Use Scrum methodologies to drive prioritization, planning, and execution of tasks for the data intelligence team
Requirements
Who you are:
- A MSc/PhD in Computer Science, AI, or a related field is a strong plus
- Typically 7+ years of professional experience in data engineering or data science
- Expertise in data modeling and data warehousing, including building and optimizing data schemas and data lakes
- Hands-on experience specifically with AWS data services like Glue, Redshift, S3, Lambda, Athena
- Advanced proficiency in Python, SQL, PySpark
- Hands-on experience with big data frameworks like Apache Spark, DBT, workflow orchestration tools like Apache Airflow or AWS Step Functions, and Infrastructure-as-Code like CloudFormation or Terraform
- Hands-on experience with MLOps in operationalizing machine learning models in production
- Experience leading and mentoring data engineers and driving data system projects from conception to completion
- Solid critical thinking, research, and problem-solving skills, with the ability to quickly grasp any data-related domain
- Solid foundation of large-scale data systems, including data warehousing and data processing, including parallel processing, data partitioning, cost efficiency
- Solid data programming covering algorithms, data structures, design patterns, and relational databases
- Solid software development practices, version control, testing, and CI/CD
- Knowledge of Machine Learning (ML), Natural Language Processing (NLP), or Deep Learning (DL)
- Knowledge of the Blockchain domain and passionate about gaining further breadth and depth of the domain
Benefits
- Remote work
- Laptop reimbursement
- New starter package to buy hardware essentials (headphones, monitor, etc)
- Learning & Development opportunities
- Competitive PTO
At IOG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Non-profit Organizations
- Primary and Secondary Education
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Senior Data Engineer - Technical Intelligence employer: Input Output (IOHK)
Contact Detail:
Input Output (IOHK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Technical Intelligence
✨Tip Number 1
Network like a pro! Reach out to folks in the blockchain and data engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AWS, ML, and AI. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data pipelines and how you've tackled challenges in past projects.
✨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 Senior Data Engineer - Technical Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS, data engineering, and any relevant projects that showcase your skills in AI/ML. We want to see how you can contribute to our TechInt team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about blockchain technology and how your background aligns with our mission at IOG. Let us know what excites you about this role and how you can drive positive change.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention specific tools and technologies you've worked with, like Python, SQL, and big data frameworks. We love seeing hands-on experience, so be sure to include any relevant projects or achievements.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Input Output (IOHK)
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll need to demonstrate your expertise in data modelling and warehousing. Brush up on your knowledge of AWS services like Glue and Redshift, and be ready to discuss how you've built and optimised data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific examples where you've used critical thinking to solve complex data-related problems, especially in the context of machine learning or big data frameworks.
✨Understand the Blockchain Landscape
Since IOG is focused on blockchain technology, make sure you’re familiar with current trends and innovations in the industry. Be prepared to discuss how your data insights can contribute to strategic decision-making in this space.
✨Communicate Effectively with Stakeholders
You’ll be working closely with senior leadership, so practice articulating your ideas clearly. Think about how you can convey complex data insights in a way that’s accessible to non-technical stakeholders, highlighting your ability to bridge the gap between data and business strategy.
