Enterprise technology engineer - Appcast Enterprise : Job Details

Enterprise technology engineer

Appcast Enterprise

Job Location : London, UK

Posted on : 08/09/2024 - Valid Till : 08/09/2024

Job Description :

Job Family Group:

IT&S Group

Job Description:

At bp, we’re reimagining energy for people and our planet. With operations working across almost every part of the energy system, we’re owning the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge. We’re a team with multi-layered strengths of engineers, scientists, traders and business professionals determined to find answers to problems. And we know we can’t do it alone.

We embrace a culture of change and agility and expect our teams to continuously evolve and adapt to our changing world. We value great teammates, who can transcend organizational boundaries to consider the bigger picture and make those around them better. We actively seek out those who consider the perspective of others, while understanding and respecting cultural differences.

We’re looking for people who share our passion for reinvention, to bring fresh opinions, ambition, and to challenge our thinking in our goal to achieve net zero! We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society, our industry and our planet.

This role is in our digital Trading Analytics department, supporting the Trading Analytics & Insights (TA&I) organization. We are seeking a talented and experienced Technical Business Analyst within our digital trading analytics portfolio. As Business Analyst, you will be responsible for driving the delivery of data products and solutions within various workstreams in data and analytics portfolio. Your expertise in data analysis, business analysis, commodities trading, requirements elicitation, product management, analytics, and user engagement will be essential in delivering innovative data-driven solutions that meet the needs of our customers and drive business growth.

You will be a key part of the team delivering the data access solutions powering the analytical models underpinning BP’s commodity trading organisation: Analytics Data Workbench (ADW). You will know business users’ expectations and workflow intimately, be able to listen, understand and appreciate application use cases providing solutions that will resonate with our stakeholders.

You will be able to quickly understand and simplify current data workflows and design solutions that better satisfy the business requirements, always being mindful of practical delivery and economic realities. With excellent interpersonal skills, you will facilitate communication between global teams of users, 3rd party vendors, developers and testers in the delivery squad (all spread across multiple time zones and geographies)

You will become the face of ADW to our customers, being equally comfortable demonstrating new capabilities to the C-suite and discussing detailed product designs with our users.

Key Accountabilities:

Human centered:

  • Conduct thorough research on customer trends and competitor activities to continually improve product performance, building a knowledge hub.
  • Demonstrate a strong customer-centric approach, fostering innovation, and effectively collaborate with cross-functional teams to launch delightful products, platforms, and experiences.

Business focused:

  • Collaborate with stakeholders to create a customer-centric product vision, integrating market research, regulatory considerations, and business goals.
  • Partner with DevOps teams for daily development, emphasizing the customer's voice and maintaining a business-value-focused delivery roadmap.
  • Demonstrate expertise in product economics, balancing functional impact, business impact, and user experience, while strategically accelerating development through partnerships and crafting robust strategies aligned with the product roadmap.

Technology driven:

  • Collaborate on influencing end-state architecture for secure, resilient, and scalable technology solutions to address significant customer and business challenges.
  • Contribute to technology investment decisions, emphasizing reuse and enterprise scalability in building new solutions.
  • Possess a basic understanding of Software Development, Software Operations, and DevOps, with experience in Service Design, agile frameworks, and prioritizing security incidents.

Transformational Behaviors

  • Contribute effectively to the planning, execution, and delivery of complex cross-team engineering initiatives, fostering high performance in supporting teams.
  • Guide teams in reflection, issue resolution, and continuous improvement, promoting dedication and agility.
  • Serve as a coach and mentor to instill an agile mindset, demonstrating deep communication skills for cross-discipline problem-solving, influencing stakeholders, and establishing long-term product portfolio strategies.

Essential Criteria

Trading Domain Specific Knowledge

  • Hands-on experience of Market and Fundamentals data used in a pre-deal analytics context. Particularly financial curve data and associated concepts (relative/absolute periods, continuous contracts). Exposure to fundamentals data (weather, gas flows, economic data) also desirable.
  • Knowledge of physical deals and derivative trading instruments and contracts (Futures, Swaps, Options, Forwards, Physical) – understands key characteristics and commercial purpose.
  • Familiarity with key physical and derivative energy trading markets (trading venues, exchanges, OTC/Bi-lateral)
  • Experience of dealing with energy unit conversions across instruments and commodities (Oil, refined products, gas, power, low carbon).
  • Basic understanding of Price Reporting Agency methodologies and associated benchmarks.
  • Familiar with end-to-end trading transaction lifecycle (physical commodities); able to characterise key pre and post deal stages.
  • Familiarity with trade control/risk management concepts: Value at Risk, Exposure, P&L, Position, Mark-to-Market, MI/MA

Specific Technical Skills and Knowledge

  • Good working knowledge of using Python for data analytics, particularly common Pandas functions for data preparation/manipulation.
  • Strong knowledge of SQL for data preparation/manipulation on RDBMS (experience of Databricks SQL also desirable).
  • Demonstrate basic understanding of Data Modelling: ERDs, relationship modelling, data lifecycle concepts, object models.
  • Experience of analysing and using data APIs, python libraries.Evidence of authoring technical documentation to enable self-servi
  • Salary : -

    Apply Now!

    Similar Jobs ( 0)