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Data Engineer (Python, SQL, Cloud, Big Data) at Financial Times (Sofia, Bulgaria)

Company & Department Context

The Financial Times (FT) is one of the world’s leading business news and information organisations. We are recognised globally for our authority, integrity and accuracy. We provide a broad range of essential services, including news, comment, data and analysis, to the growing audience of internationally minded business people.

We think the Financial Times is a great place to work: we have a technical stack that is cutting edge - employing cloud-based, microservices architectures and using a wide range of open source and commercial technologies; our product development methodologies are very current - using a data driven approach, empowering everyone to understand and to delight our customers; our engineers are free to choose the tools they need and are able to influence the development process. Importantly, we ensure staff also have the ability to achieve a good work life balance.

Position Summary

An exciting opportunity for an engineer to join the Product & Technology department, of a growing business and a globally recognised brand.  Working with teams in Sofia or in distributed teams in London and Sofia, you will be responsible for delivering innovative technical solutions as you build and operate world class platforms to grow the Financial Times strategic business models. You will have the autonomy, within defined guard rails, to select the tools and technologies you need to build and operate services responsible for FT brand critical capabilities.  Someone who is comfortable with the ever changing technical landscape and is keen to contribute to the company’s processes and broader know how would thrive in this role.

Main Duties and Responsibilities

In this role you will:

  • Work directly with product owners and stakeholders to fully shape solutions from inception to deployment and beyond

  • Work within an agile delivery team of engineers

  • Development of high quality data solutions within Financial Times’ Data Platform

  • Design and implement low maintenance, well monitored, secure and scalable solutions to customer problems

  • Design, build and operate solutions, from cradle to grave, which meet both functional and non-functional KPIs

  • Understand and play an active part in designing the architecture, tooling and release cycle processes used by the engineering teams across Product & Technology

  • Contribute to company-wide processes, frameworks and guidelines

  • Develop an in-depth understanding of FT’s underlying data and data flow, data structures.

  • Develop a close relationship with our customers and provide operational support

Person Specification (Candidate Profile)


  • Good command of written and spoken English

  • Minimum of three years in a Data Engineer/Data Warehouse Development role involving hands-on experience in data warehousing/data technologies/business intelligence within a significantly-sized DW/BI project.

  • Experience in modern database technologies (AWS/cloud-based/in-memory etc.), scripting languages, big data technologies.

  • Experience working with data sources of varying volumes, variety and velocity

  • Experience in designing and developing ETL solutions using both out-of-the-box ETL vendor technologies and SQL

  • Highly proficient in at least one of the  programming languages relevant to Data at the FT: Java, SQL, Python

  • Will have a track record of delivering well engineered solutions using current technologies and best practices such as SOLID, TDD, CI/CD and pair programming

  • An active member of the broader technology community with an understanding of current leading trends

  • Experience working as part of an Agile delivery team, using methodologies like Scrum and Kanban

  • Good understanding of the principles and trade-offs of a microservices architecture

  • Good working experience of at least one cloud infrastructure, ideally AWS

  • Comfortable working in a Linux environment


  • Knowledge of optimisation techniques like indexing/performance tuning on both relational and columnar databases

  • Experience working within an environment where operational support and monitoring of code and systems is part of the culture (DevOps)

  • Experience in additional data warehouse and business intelligence tools and technologies (such as Cognos, Teradata)

  • Kimball Methodology

  • Experience designing and developing RESTful APIs

  • Ability to accurately monitor and analyse system performance using tools like Grafana

  • Will hold an industry certification in a key platform, tool or domain used within Engineering at the FT. This could be any relevant certification but currently we are recommending it's an AWS Associate certificate

Personal Attributes

  • Inquisitive, innovative, lateral thinking

  • Thorough/attention to detail

  • A proactive and determined approach to problem solving

  • A passion and aptitude for working with business data

  • Capable of prioritising multiple streams of work, in varying states of completion

  • Have a passion for the web, digital and emerging technologies

  • Be a natural advocate for data and BI

  • A natural collaborator and team player

by via developer jobs - Stack Overflow

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