Job Description:

JOB TITLE: Lead Data Engineer

Dow Jones       Location: Barcelona    Job ID: TBD

About Us

OPIS, a Dow Jones company, is one of the world’s most comprehensive sources for petroleum pricing and news information.  OPIS provides real-time and historical spot, wholesale/rack, and retail fuel prices for the refined products, renewable fuels, and natural gas and gas liquids (LPG) industries.   We deliver award-winning news, market intelligence, and transparency to the entire refined energy marketplace and companies looking to go carbon neutral. At its core, OPIS uses a set of complex IT systems and tools, reliably handling huge amounts of data, and providing customers with business applications to use this data as efficiently as possible.

Your Role

The OPIS Data Science & Analytics team is a collaborative group of Data Scientists, Data Analysts, and Data Engineers dedicated to tackling intricate data challenges. Our team leverages extensive industry knowledge, robust analytical skills, and a practical approach to address our organization's most complex business dilemmas. The team focuses on developing and deploying AI, ML, and data science solutions.  This is a unique opportunity to join a fast-growing team that will become an important part of the global OPIS team. You will work closely with the OPIS IT HQ based in Gaithersburg, US, Romania, Poland, and with your remote colleagues. 

Your Responsibilities

As an experienced and solution-oriented Lead Data Engineer, you will design and develop database and ML architecture to process large data volumes and operationalize complex ML models. You'll optimize and automate data pipelines using SQL and Python to integrate data across disparate sources. You will also develop back-end integrations between BI tools and data sources, deploy ML code using AWS and CI/CD pipelines, and support AI, ML, and analytics solutions. Working within an Agile team, you will be a leader coaching, mentoring, and training team members, driving both employee and team development and growth.

Your Expertise

• Degree in computer science, related technical field, or equivalent experience

• Minimum of 4+ years of experience in data management technologies (Microsoft SQL Server, Postgres, Snowflake)

• Experience with advanced SQL coding and data modeling to integrate systems

• Experience writing Python or PySpark for ML processing, data analysis, and automation

• Experience in BI visualization development such as Power BI, Tableau, or Looker

• Ability to write SQL queries and statements to explore source data and data issues

• Working knowledge of cloud data technologies and architecture

• Working knowledge of Big Data technologies such as Spark, AWS EMR

• Working knowledge of building CI/CD pipelines for code deployment

• Must speak and write in English fluently; Effective communicator

Does this sound like you?

• A strong analytical thinker with a love for planning and organization who can manage competing demands with minimal supervision

• A self-starter with a never-ending curiosity to learn and solve problems

• A critical thinker, with mad problem-solving skills

• A team player with great interpersonal and communication skills

• A structured developer, with good time-management skills

If these things strike a chord with you, we should talk.

We’d also love to hear about your experiences with any of the following:

• Degrees, Certifications, and/or awards/recognition that you have achieved

• Knowledge of SDLC, Agile methodology and/or SCRUM

• Experience working with scripts under source control (Git/TFVC/Mercurial/Svn/etc)

• Experience being part of a continuous integration and deployment process

• Experience using AI, ML, and Data Science tools

Our Benefits

• Pension Scheme: Company contributes up to 8% of your salary with matching contributions.

• Healthcare Coverage: Comprehensive health plan with unlimited coverage, including outpatient care, dental, and maternity.

• Life & Disability Insurance: Coverage from day one, including life insurance at 2X salary and accident coverage up to 4X salary.

• Wellness Programs: Access to wellness platforms, mindfulness apps, and free fitness classes.

• Meal & Teleworking Allowance: Monthly meal card and teleworking allowance.

• Flexible Working: Ability to work from home 2 days per week with the option to work remotely for 1 week per quarter.

• Family Care Support: Up to 4 weeks of paid compassionate leave and a generous reimbursement for emergency care.

• Referral Bonus: Earn a bonus for recommending great talent to join us.

 

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Inclusion and diversity are critical to the success of Dow Jones, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category. For more information on the many ways in which we enthusiastically support inclusion and diversity efforts for both candidates and employees.  

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Current Colleagues 

If you are currently employed by Dow Jones, please apply internally via the Workday internal careers site. 

 

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area:

Dow Jones - OPIS

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role