Big tech is still pretty fragile and career outlook right now is very uncertain. What about working at a hedge fund where their growth is almost certain?This data engineering team hired multiple people last year most from big-tech and plan to do the same this year.A large portion of your work will technically be non-finance, with the main finance focused work completed by other teams. The real-world, complex data engineering problems are all yours.Youll be joining a team that builds and has built thousands of ingestion pipelines, with data coming from every single potential avenue it possibly can. To get the best understanding of an investment, all data points are considered. Youll bring the data into the business, build the data infrastructure around it and deliver the data to the right person in the business to build their investment models.Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more.Youll need to come from a strong academic background with some commercial experience in a data heavy software or data engineering role. Financial experience of some kind would be a huge plus, but absolutely not a requirement. Experience with as much of the tech stack above is preferred and most likely, but you dont need experience with all. Picking up new tech will be part of your job.This is a $60 billion plus fund, where being at the cutting edge of technology in general, let alone finance, is key for them. With this amount of ambition, its why their bonuses can be some of the biggest in the industry. First year total compensation could be as high as $400,000 and this has the potential to get better year on year, based on your performance.When in the office you have a fully catered canteen with a Michelin standard chef, barista coffee, a gym and more.Want to explore (or to continue exploring) high-tech in the Hedge Fund world?No up-to-date resume required initially, we can work on updating it together if need be before submitting.by Jobble

Big tech is fragile and career outlook right now is very uncertain. What about working at a hedge fund where their growth is almost certain? This data engineering team hired multiple people last year – most from big-tech – and plan to do the same this year. A large portion of your work will technically be non-finance, with the main finance focused work completed by other teams. The real-world, complex data engineering problems are all yours. You’ll be joining a team that builds and has built thousands of ingestion pipelines, with data coming from every single potential avenue it possibly can. To get the best understanding of an investment, all data points are considered. You’ll bring the data into the business, build the data infrastructure around it and deliver the data to the right person in the business to build their investment models. Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy software or data engineering role. Financial experience of some kind would be a huge plus, but absolutely not a requirement. Experience with as much of the tech stack above is preferred and most likely, but you don’t need experience with all. Picking up new tech will be part of your job. This is a $60 billion plus fund, where being at the cutting edge of technology in general, let alone finance, is key for them. With this amount of ambition, it’s why their bonuses can be some of the biggest in the industry. First year total compensation could be as high as £200,000 and this has the potential to get better year on year, based on your performance. When in the office you have a fully catered canteen with a Michelin standard chef, barista coffee, a gym and more. Want to explore (or to continue exploring) high-tech in the Hedge Fund world? No up-to-date CV required initially, we can work on updating it together if need be.

Be the first hire of this brand-new data engineering team and build it from the ground up. First up, you’re going to need to have done something similar before within finance, ideally algorithmic or systematic trading, with ETFs. You’re going to be given total autonomy to build the team in the way you want. You’ll work closely with the quant teams to understand their requirements, but data strategy will be down to you. Using the right technologies will be down to you. It’s a hands-on engineering role to begin with, with engineering leadership responsibilities in future. The focus is on collecting and processing data that’s critical to the business, so you’re not going to be building data ingestion strategies for every piece of data you can find. There’ll be specific data types, looking at things like fundamentals, corporate actions, and index membership data, and more, depending on the strategy. You’ll shape the future of data engineering here. In terms of experience, as mentioned you’ll need to have built and led a team before within a data engineering focused role. Strong programming ability will of course be required, any language is fine. You will already have an idea of what will be best. Strong financial data experience will be required and it’s likely this will be from a trading environment. This is a well-known, well-respected firm in the trading space. Along with being given the flexibility and autonomy to tread your own path here, you’ll earn up to $500,000 total compensation depending on your experience with a comprehensive benefits package. You will be taken care of in all ways you can think of. Are you ready to build something special in this brand-new data engineering group? Get in touch. No up-to-date CV required, we can work on updating together if need be.

Big tech is still pretty fragile and career outlook right now is very uncertain. What about working at a hedge fund where their growth is almost certain? This data engineering team hired multiple people last year – most from big-tech – and plan to do the same this year. A large portion of your work will technically be non-finance, with the main finance focused work completed by other teams. The real-world, complex data engineering problems are all yours. You’ll be joining a team that builds and has built thousands of ingestion pipelines, with data coming from every single potential avenue it possibly can. To get the best understanding of an investment, all data points are considered. You’ll bring the data into the business, build the data infrastructure around it and deliver the data to the right person in the business to build their investment models. Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy software or data engineering role. Financial experience of some kind would be a huge plus, but absolutely not a requirement. Experience with as much of the tech stack above is preferred and most likely, but you don’t need experience with all. Picking up new tech will be part of your job. This is a $60 billion plus fund, where being at the cutting edge of technology in general, let alone finance, is key for them. With this amount of ambition, it’s why their bonuses can be some of the biggest in the industry. First year total compensation could be as high as $400,000 and this has the potential to get better year on year, based on your performance. When in the office you have a fully catered canteen with a Michelin standard chef, barista coffee, a gym and more. Want to explore (or to continue exploring) high-tech in the Hedge Fund world? No up-to-date resume required initially, we can work on updating it together if need be before submitting.

A 6-month initial contract working on a range of greenfield projects, within a systematic trading firm based in the City. This is an Outside IR35 Position, offering circa £700 per day. You’re going to be playing a crucial role in improving data functions to support the firms' trading operations, working on numerous greenfield projects including the creation of a systematic trading platform, developing a Data Lakehouse and other key initiatives. You’re going to be a senior member of the team, with that in mind you’ll need to have the following: <ul><li>Extensive software engineering/ data engineering experience with Python and it's associated libraries - Pandas, Numpy, PySpark.</li><li>A background in Java/ C# would be beneficial to show programming aptitude.</li><li>AWS, Kafka, Redis</li><li>Experience within a trading technology environment would be beneficial i.e. Equities, Fixed Income, Commodities.</li></ul> This will be a 6 Month initial contract, offering a hybrid working policy of three days on client site. Ready for your next contract? Get in touch. No up-to-date CV required.

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Data Engineer Saragossa Jobs

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