
Global energy company delivering energy solutions
Senior Data Engineer
必备技能
Python
Java
SQL
AWS
Azure
Spark
Scala
Entity:
Technology
Job Family Group:
IT&S Group
Job Description:Job Summary
Data Engineers perform a vital role helping produce analytics that provide value for our customers and accelerate our business. This job requires great communication skills, a high degree data literacy, and tool fluency in the modern data stack. Data Engineers typically work in a multi-disciplinary teams with other data, software, and business professionals. Senior data engineers are expected to be technical leaders within the teams they work in, helping other technical individual contributors deliver key results for the business.
Responsibilities
· Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
· Architects, designs, implements and maintains reliable and scalable data infrastructure to move, process and serve data.
· Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data at bp.
· Adheres to and advocates for software engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation),
· Responsible for deploying secure and well-tested software that meets privacy and compliance requirements; develops, maintains and improves CI / CD pipeline,
· Responsible for service reliability and following site-reliability engineering best practices: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Design, build, deploy and maintain infrastructure as code. Containerizes server deployments.
· Actively contributes to improve developer velocity.
· Mentors others.
Qualifications
· BS degree in computer science or related field
· Deep and hands-on experience designing, planning, building, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
· Development experience in one or more object-oriented programming languages (e.g. Python, Scala, Java, C#)
· Advanced database and SQL knowledge
· Experience designing and implementing large-scale distributed data systems
· Deep knowledge and hands-on experience in technologies across all data lifecycle stages
· Strong stakeholder management and ability to lead initiatives through technical influence
· Continuous learning and improvement mindset
Desired
-
Solid cloud platform experience technical skills in AWS OR Azure. Exceptional candidates will have deep experience in both, but only one is required.
-
Solid hands-on big data experience in Databricks (SPARK) or Palantir. We’ll also consider folks with AWS-Glue, or open source spark as well, but databricks is preferred
Why join us At bp, we support our people to learn and grow in a diverse and high-reaching environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.
There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
BEWARE – RECRUITMENT FRAUD It has come to our attention that there are a number of fraudulent emails from people pretending to work for bp. Please be advised that we do not require any forms of payment or course by applicants to be considered for open positions.
Travel Requirement
No travel is expected with this role
Relocation Assistance:
This role is not eligible for relocation
Remote Type:
This position is a hybrid of office/remote working
Skills:
Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, No Sql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}
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 an accessibility need may request an adjustment/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 adjustment/accommodation related to the recruitment process, please contact us.
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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关于BP

BP
PublicBP is a British multinational oil and gas company engaged in the exploration, production, refining, and marketing of petroleum products. The company operates across all areas of the oil and gas industry including upstream exploration and production, downstream refining and marketing, and renewable energy investments.
10,001+
员工数
London
总部位置
$78B
企业估值
评价
10条评价
3.5
10条评价
工作生活平衡
3.2
薪酬
2.8
企业文化
3.8
职业发展
2.5
管理层
2.7
62%
推荐率
优点
Supportive management and team
Good work-life balance and flexible hours
Strong team culture and collaborative environment
缺点
Poor management and lack of direction
Limited career advancement and growth opportunities
Non-competitive compensation and pay
薪资范围
0个数据点
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0份报告
$62,301
年薪总额
基本工资
$24,920
股票
$31,151
奖金
$6,230
$43,611
$80,991
面试评价
6条评价
难度
3.2
/ 5
时长
14-28周
录用率
50%
体验
正面 0%
中性 83%
负面 17%
面试流程
1
Application Review
2
HireVue Screening
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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