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With Intelligence

Senior Data Engineer

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    Tech Stack / Requirements

    Description

    Over the past 25 years, With Intelligence has evolved from a traditional financial publisher into a dynamic, product-led fintech company. Our mission is to empower investors and managers worldwide by connecting them to the people and data they need to raise and allocate assets efficiently.

    We are rapidly expanding our focus on data, both internally and within our products and services. We are now looking for more help in this area to keep up with the growing demands of a dynamic, data driven organisation. We need someone that wants to get stuck in and do stuff! The role requires knowledge and understanding of some data and technical concepts and tools, but we do not expect candidates to have a lot of professional experience in all these areas. This role will enable you to get hands on experience in multiple areas, making it an amazing opportunity to learn very quickly.

     

    Responsibilities

    • Develop, maintain, and optimise ETL processes for data extraction, transformation, and loading
    • Create and manage data models and data warehousing solutions
    • Write and maintain structured queries as well as content scraping projects
    • Utilise programming languages like Python, SQL for data processing tasks
    • Enablement of integration of apps / services and connecting to internal and third-party APIs
    • Collaborate with cross-functional teams to ensure seamless integration of data processes
    • Optimise data pipelines for performance and efficiency.
    • Work closely with data scientists and analysts to support their data needs.
    • Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs

     

    Requirements

    • Proven experience in data engineering and proficient in designing and implementing scalable data architectures.
    • Strong experience with ETL processes, data modelling, and data warehousing (we use airflow, dbt and redshift)
    • Expertise in database technologies, both relational (SQL) and NoSQL.
    • Knowledge of cloud platforms (AWS)
    • Solid understanding of data security measures and compliance standards.
    • Excellent Python experience
    • Collaborative skills to work closely with data scientists and analysts
    • Ability to optimise data pipelines for performance and efficiency.
    • Ability to build, test and maintain tasks and projects
    • Experience with version control systems, like Git.

    It would be nice if you had:

    • Experience with Airflow and/or dbt
    • Experience working in Agile environment using SCRUM/Kanban
    • Hands-on experience working within a DevOps environment

     

    Benefits

    Annual Leave

    • 22 days per calendar year (and all local bank holidays)
    • An additional day off for your birthday

    Wellness and Care Leave Up to 5 days for self-care or wellness

    Volunteer Day 1 day off to support a charity of your choice

    Share With Scheme Eligible employees receive a share in a qualifying event

    Therapy Sessions 50% contribution towards therapy sessions, up to BGN 90 per session

    Lunch & Learns Events held throughout the year with educational or informative topics

    Charity Matching Days Company matches charity sponsorships up to 3500 BGN

    Hybrid Working 3 days in the office, 2 days working from home

    Multisport 50% contribution from the employer, 50% from employee

    State Benefits

    • Pension & health provision
    • Family-friendly policy

    Office Facilities

    • Contemporary office space
    • Free Onsite gym
    • Address: 51, “Cherni vrah” Blvd, 1407 Sofia, WorkBetter Coworking space

    Employee Assistance Programme (EAP)

    • 24-hour confidential health assistance via TelusHealth, including:
    • Counselling support
    • Financial wellbeing
    • Bereavement support
    • Legal information
    • Medical information

    Refer a Friend BGN 1,200 reward for successful referral

    Hardship Fund Financial assistance repayable with low interest over 3, 6, or 12 months

    Learn With Us Access to a learning platform with over 80,000 free courses