Company & Department Context

The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community.

We have offices in more than 35 cities, including London, New York, Hong Kong, Beijing, Manila, Sofia, San Francisco and Tokyo. Join us and find an inclusive and fast-paced environment with unique opportunities to support every step of your career.

Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com.

Role overview 

This role sits in the Data & AI Governance function and focuses on platform engineering and infrastructure ownership to ensure the reliable and scalable operation, integration, and development of Data & AI Governance platforms across the FT.

The role is responsible primarily for designing, integrating, optimising, and maintaining cloud-native platform infrastructure and services enabling metadata management, data lineage, data quality, data access, data retention, data compliance and data sharing in a dynamic, cloud-native data platform. 

The successful candidate is expected to take technical ownership of the key data governance systems, namely SageMaker Unified Studio (SMUS) and the infrastructure-as-code solution Data Innovation Workbench (DIW), ensuring their reliability, security, scalability, and effective integration within the broader FT data platform. 

The role contributes to the FT’s broader Data & AI Governance strategy by ensuring that governance technology is robust, well-integrated and capable of scaling with increasing demand or in response to evolving industry best practices. 

The role will report directly into the Data Governance team but requires close collaboration with the FT’s DevOps, Data Engineering, BI, Data Science and Cyber Security functions.

Context & Drivers for the Role

Data & AI Governance capabilities at the FT are increasingly dependent on well-integrated, cloud-native tools. Currently, the technical ownership of these tools is distributed across multiple teams. 

As adoption grows, and the governance tools ecosystem expands, there is a need for clear technical ownership centralised in the Data Governance team to enforce consistent infrastructure standards and scalable integration patterns. 

Responsibilities 

These responsibilities reflect the current scope of the role and will evolve over time as the FT advances its data governance and platform capabilities. 

Governance Platform Technical Ownership & Reliability

• Act as the technical owner of SageMaker Unified Studio (SMUS) and Data Innovation Workbench (DIW), ensuring high availability, reliability, and security
• Serve as the primary point of contact for platform-related infrastructure issues and escalations
• Ensure that technical metadata, data lineage, and data quality is consistently captured, accurate, and reliable via SMUS
• Ensure consistent governance enforcement across integrated AWS services for all Data handling services (e.g., S3, Redshift, MSK, MWAA) via SMUS.

Infrastructure & DevOps

• Define and implement Infrastructure as Code (IaC) standards using primarily AWS CDK, CloudFormation, and Terraform 
• Manage and optimise cloud-native infrastructure to ensure scalability, resilience, and maintainability 
• Plan and execute infrastructure changes, upgrades, and platform improvements with minimal service disruption.

System Integration 

• Collaborate with system owning teams to setup and maintain integration between SMUS and other systems such as data stores (Redshift, S3, MongoDB), Streaming platforms (Kafka/MSK)  orchestration tools (e.g., Airflow, MWAA)
• Ensure lineage metadata is accurately captured and maintained as pipelines evolve
• Design, deploy, and support integrations with additional systems (e.g. analytics tools, streaming platforms, operational databases).

Performance, Compliance & Cost Monitoring

• Monitor platform usage, performance, and capacity to ensure systems scale effectively with demand
• Track and optimise cloud infrastructure costs, establishing best practices for cost efficiency
• Implement monitoring, alerting, and observability for platform health.
• Enable audit, monitoring, and compliance reporting for all SMUS platform activities

Continuous Improvement & Strategy 

• Contribute to the development of standards and best practices for governance tooling and infrastructure
• Advise on platform evolution, including AWS service adoption, architectural improvements, and system upgrades
• Support the broader data governance strategy by ensuring platforms enable effective governance at scale.
• Work in close partnership with FT’s Data Platform team to ensure governance capabilities are natively embedded into platform services, architectures, and delivery processes. 

Required Skills & Experience 

• Proven experience in a DevOps, platform engineering, or cloud infrastructure role
• Hands-on experience with AWS cloud services and infrastructure
• Experience with Infrastructure as Code (CDK, CloudFormation, Terraform)
• Experience supporting (ideally, owning) production-grade cloud platforms and services
• Experience monitoring, analysing, and optimising cloud costs using best practices and tooling
• Experience in setting up and supporting CI/CD pipelines, familiarity with CircleCI or willingness to acquire one 
• Understanding of cloud security best practices and compliance requirements

Additional (Desirable) Skills & Experience 

These skills are not required at entry but will enhance early success in the role and represent key areas for development with support from the FT

• Experience implementing data governance capabilities in cloud-native environments
• Understanding of metadata, data lineage, and data & ai governance concepts
• Experience working with data platform data engineering workflows in AWS environment (e.g., Redshift, S3)
• Familiarity with SQL or willingness to acquire one
• Experience with data pipeline orchestration tools such as Airflow
• Experience with identity and access management (IAM), SSO integration, and role-based access control
• Experience with streaming platforms (e.g. Kafka/MSK) and modern data architectures
• Experience with SageMaker Unified Studio and Data Innovation Workbench or similar data platform environments

What’s in it for you?

• Annual bonus scheme
• 25 days paid leave
• 24/7 Employee Assistance Program
• Life Insurance
• Enhanced Parental Leave policy
• Food Allowance
• Multisport Card
• Comprehensive in-house training, and external training programs (subject to approval)

Our commitment to diversity, equity and inclusion 

We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

Accessibility

We are a disability confident employer and Valuable 500 signatory.

Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.

Further information

At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications.

Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.

Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. 

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About Us:

Delasport is where technology meets the excitement of sports and gaming! As a leading powerhouse in iGaming software, we provide everything from platform development to player account management. Our platform is designed to make every player feel like the star of the show, with personalized experiences and cutting-edge technology at its heart.

Since our founding in 2010, we have won multiple international awards and have established a proven track record of excellence, stability, and overall success. This achievement only drives us to reach even greater heights. Currently, we are proud to have over 500 experts across various business fields and several offices in Bulgaria (Sofia and Plovdiv), Ukraine, and Malta.

Your Role:

We are looking for a proactive and analytically driven Business Analyst to join our growing Data & AI organization. In this role, you will explore data, analyze business processes, identify optimization opportunities, and help shape the data-driven direction of the company. You will work cross-functionally with AI engineering, data architecture, BI, and executive leadership to deliver insights and solutions that improve business outcomes. 

If you enjoy solving complex problems, translating business needs into actionable data requirements, and influencing strategic decisions, this role is for you. 

How You’ll Make an Impact:

Data Exploration & Insight Generation 

• Independently explore large datasets to uncover trends, anomalies, and opportunities for optimization. 
• Conduct exploratory data analyses (EDA) and build hypothesis-driven insights to support strategic decisions. 

Business Process & Requirements Analysis 

• Map and analyze existing business processes to identify inefficiencies, risks, and improvement opportunities. 
• Translate business challenges into clear analytical questions and actionable requirements for data engineering and AI teams. 
• Define and document KPIs, success metrics, and analytical frameworks. 

Metrics, Dashboards & AI Opportunities 

• Recommend new metrics, dashboards, and analytical models that add value to the business. 
• Identify automation or AI use cases—such as forecasting, anomaly detection, or personalization—based on data patterns and stakeholder needs. 
• Collaborate closely with BI, data engineering, and AI teams to ensure the successful delivery of insights and solutions. 

Cross-Functional Collaboration & Communication 

• Communicate findings, insights, and recommendations clearly to both technical and executive stakeholders. 
• Act as a bridge between business teams and the data organization, ensuring alignment on goals and expectations. 
• Work directly with executive management to support strategic initiatives. 

Execution & Continuous Improvement 

• Support the implementation and adoption of data-driven initiatives. 
• Continuously monitor and enhance existing dashboards, KPIs, and processes. 
• Advocate for best practices in analytics, measurement, and data-driven decision-making.

Who You Are:

Core Experience & Technical Skills 

• 2–3 years of experience in business analysis, data analysis, or analytics consulting. 
• Strong proficiency in SQL, with experience exploring large datasets. 
• Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker. 
• Solid understanding of data modeling concepts and basic statistical methods. 
• Ability to write clear business and technical requirements. 

Soft Skills & Mindset 

• Strong analytical and critical-thinking skills with the ability to break down complex problems. 
• Excellent communication skills; able to present insights to both executive and technical audiences. 
• Curious, proactive, and comfortable working independently in fast-paced environments. 
• Passionate about leveraging data, automation, and AI to drive impactful business outcomes. 

Preferred Experience 

• Experience working in cross-functional data environments (BI, engineering, AI, product). 
• Background in fintech or iGaming is a plus. 
• Exposure to predictive analytics, machine learning, or automation initiatives. 
• Familiarity with Python/R, ETL/ELT concepts, or cloud data platforms (e.g., Snowflake, BigQuery, Redshift) is a bonus. 

What We Offer: 

We’re not just about work,  we are about creating a great place to grow, connect, and enjoy the journey. Here’s what you can expect when you join us:

• Competitive Salary Package: We value your skills, dedication, and contributions
• Time Off: Enjoy 21+ days of annual paid leave so you can rest, recharge, and come back inspired
• Bonus & Rewards: Performance-based annual bonuses, special vouchers for birthdays and welcoming a newborn
• Health & Wellness: Additional Health insurance including dental care; Co-funding a Multisport/Coolfit card to help you stay active
• Extra Benefits: Employee discounts at various retailers and a monthly allowance for public transportation
• Great Office Locations: Central office location in Sofia and Plovdiv
• Relax & Recharge Zone: Take a break with colleagues in our PlayStation and Pool Area - perfect for recharging during the day

Wait, there’s more:

• Happy Hour Fridays: Every Friday we host themed Happy Hours with snacks, fun activities, and plenty of opportunities to connect and unwind with colleagues
• Multicultural Days: Celebrate diversity and experience the traditions, food, and cultures of teammates from around the world
• Massages at the Office: Weekly Free Recreational Massages to help relax during the workday
• Chess Lessons: Sharpen your strategic thinking and enjoy some friendly competition with colleagues
• Sports & Football Team: We regularly participate in various sports events and have our own Delasport Football Team, competing in the IT League
• Bulgarian Language Lessons: Bulgarian for Foreigners classes to support smoother communication
• Office Library: Enjoy access to technical literature to expand your knowledge

Ready to Be Part of Something Big?

If you’re excited to join a team that’s revolutionizing the iGaming world and want to make a real impact, apply today. We can’t wait to meet you!

LI-HYBRID

Why us? 

Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America of 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 22, 21, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re a profitable company, that's changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. We are proud to be the largest online insurance distribution and comparison platform in the USA. 

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management.  Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

How you will make an impact

• Work with our product team to architect and develop new features
• Optimize existing features using modern development techniques to improve speed and reliability
• Write comprehensive test suites that fortify our codebase
• Deploy to production often

What you need to succeed

• 4+ years of experience building back ends applications using a modern web framework (we use Python + Django, Node.js)
• Experience analyzing code performance to identify optimization opportunities
• Experience writing unit and integration tests
• Experience with SQL and NoSQL DBs (we use MySQL, Redis, DynamoDB, Redshift) 
• Fluent spoken and written use of English language

It would be considered a plus:

• Experience with Apache Airflow or other task workflow systems 
• Experience with data pipelines
• Infrastructure as Code and familiarity with AWS 
• Frontend experience (we use React)

Benefits

• 25 days annual leave
• Enhanced private medical, dental and vision insurance plans
• Yearly wellbeing budget or Multisport card
• Personal budget for learning and books
• Employee Assistance Program and other wellbeing perks
• Office kitchen and fun area with snacks and beverages
• Regular social events
• Friendly office culture
• Hybrid office