Budapest, Hungary
1 day ago
Data Engineer – Trading Analytics

Job Family Group:

IT&S Group


Job Description:

We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world's ambition of a low carbon future. Join us, and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner, and to help the world get to net zero. 

In Hungary, we operate bp’s Global Business Services organization which is an integrated part of bp. Our people want to play their part in solving the big complex challenges facing our world today and, guided by our bp values, are working to help meet the world’s need for more energy while lowering carbon emissions. In our offices in Budapest and Szeged, we work in customer service, finance, accounting, procurement, HR services and other enabling functions – providing solutions across all of bp. Join our team, and develop your career in an encouraging, forward-thinking environment!

Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better – and how you can play your part in our world-class team?

Join our Technology Team and advance your career as a

Data Engineer – Trading Analytics

Technology is at the centre of BP’s Group Strategy. We use our data and technology expertise, to improve efficiency, increase effectiveness and harness the transformational potential of digital technologies and new business models.

In this role You will:

Design, develop, and implement data pipelines using Python (Pandas), SQL, and Apache AirflowExtract, transform, and load (ETL) data from various sources including web APIs, databases, and flat filesLeverage AWS services like S3, Redshift, and EC2 to build and deploy data pipelines in the cloudOptimize and troubleshoot data pipelines for performance and efficiencyWrite unit and integration tests to ensure data quality and pipeline integrityUtilize Databricks for large-scale data processing tasksCreate data visualizations to communicate insights to technical and non-technical audiencesCollaborate with traders, trading analysts, business analysts and fellow engineers to ensure data pipelines meet business needsWork in an Agile environment (Kanban/Scrum) using Azure Dev Ops for planning, tracking, and managing workDocument data pipelines and procedures for maintainability and knowledge transfer

What You will need to be successful:

Experience as a Data Engineer or in another related roleProven experience with Python (Pandas, Webscraping libraries like Selenium, Beautiful Soup, and Requests)Strong proficiency in SQL and experience with relational databasesSolid understanding of ETL processes and data pipeline design principlesExperience with Apache Airflow for data orchestration and schedulingExperience working in a Linux environment and familiarity with Git version controlExperience with AWS cloud services, Databricks and data visualization tools (e.g., Tableau, Power BI) is a plusUnderstanding of the trading business and trading data is good to haveExcellent written and verbal communication skillsAbility to work effectively in a team environment and collaborate with diverse stakeholdersStrong analytical and problem-solving skillsA passion for automation and building robust, efficient solutionsBachelor or master’s degree in computer science, engineering, information systems or a numerate degree

At bp, we provide the following environment & benefits to you:

Different bonus opportunities based on performance, wide range of cafeteria elementsLife & health insurance, medical care packageFlexible working schedule: home office up to 3 days / week, based on team agreementOpportunity to build up long term career path and develop your skills with wide range of learning optionsFamily friendly workplace e.g.: Extended parental leave, Mother-baby roomEmployees’ wellbeing programs e.g.: Employee Assistance Program, Company Recognition ProgramPossibility to join our social communities and networksChill-out and collaboration spaces in our beautiful Budapest Agora and Szeged offices e.g.: Play Zones, Office massage, Sport and music equipmentAssets like phone for private usage and company laptop are provided from the first day of employment with other equipment if requested

bp Hungary won the Most Attractive Employer 2023 Award (SSC / BSC sector) third time in a row at PwC's annual employer research. Come and join us!


Travel Requirement:

Some travel may be required with this role, this is negotiable


Relocation Assistance:

Relocation may be negotiable for this role


Remote Type:

This position is a hybrid of office/remote working


Skills:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms, Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving


Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with disabilities may request a reasonable accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.).  If you would like to request an accommodation related to the recruitment process, please contact us to request accommodations.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy.  This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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